{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/pschuler/Dropbox/projects/papi gender/clientelism/do file/replication/replication2.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}28 Jul 2023, 14:51:00
{txt}
{com}. use Schuler_GenderAndClientelism_Replication3 /* This dataset contains the 2022 PAPI survey; It has dropped a subset of respondents who were given a treatment that varied sexual orientation in addition to gender; it also drops a subset of respondents who were asked to evaluate village leader candidates instead of national assembly delegates */
{txt}
{com}. 
. save temp1, replace
{txt}file temp1.dta saved

{com}. * Client Group variables are the three treatments: 1 is the control (no prime), 2 prime honesty, 3 primes clientelism
. gen client_group=1
{txt}
{com}. replace client_group=2 if  d101e_random >.333 & d101e_random<.666
{txt}(2,157 real changes made)

{com}. replace client_group=3 if  d101e_random>.666
{txt}(2,124 real changes made)

{com}. 
. * The following generates the randomized attributes for candidate 1
. gen age29 = .
{txt}(6,432 missing values generated)

{com}. replace age29 = 1 if d102_age1==3
{txt}(1,651 real changes made)

{com}. replace age29 = 0 if d102_age1==1
{txt}(1,625 real changes made)

{com}. replace age29 = 0 if d102_age1==4
{txt}(1,591 real changes made)

{com}. replace age29 = 0 if d102_age1==2
{txt}(1,561 real changes made)

{com}. gen age39 = .
{txt}(6,432 missing values generated)

{com}. replace age39 = 1 if d102_age1==1
{txt}(1,625 real changes made)

{com}. replace age39 = 0 if d102_age1==3
{txt}(1,651 real changes made)

{com}. replace age39 = 0 if d102_age1==4
{txt}(1,591 real changes made)

{com}. replace age39 = 0 if d102_age1==2
{txt}(1,561 real changes made)

{com}. gen age49 = .
{txt}(6,432 missing values generated)

{com}. replace age49 = 1 if d102_age1==4
{txt}(1,591 real changes made)

{com}. replace age49 = 0 if d102_age1==1
{txt}(1,625 real changes made)

{com}. replace age49 = 0 if d102_age1==2
{txt}(1,561 real changes made)

{com}. replace age49 = 0 if d102_age1==3
{txt}(1,651 real changes made)

{com}. gen age59 = .
{txt}(6,432 missing values generated)

{com}. replace age59 = 1 if d102_age1==2
{txt}(1,561 real changes made)

{com}. replace age59 = 0 if d102_age1==1
{txt}(1,625 real changes made)

{com}. replace age59 = 0 if d102_age1==3
{txt}(1,651 real changes made)

{com}. replace age59 = 0 if d102_age1==4
{txt}(1,591 real changes made)

{com}. 
. gen sex = d102_sex1
{txt}(3 missing values generated)

{com}. gen female = .
{txt}(6,432 missing values generated)

{com}. replace female = 1 if d102_sex1==2
{txt}(3,180 real changes made)

{com}. replace female = 0 if d102_sex1==1
{txt}(3,249 real changes made)

{com}. replace female = 0 if d102_sex1==3
{txt}(0 real changes made)

{com}. replace female = 0 if d102_sex1==4
{txt}(0 real changes made)

{com}. gen male_del = .
{txt}(6,432 missing values generated)

{com}. replace male_del = 1 if d102_sex1==1
{txt}(3,249 real changes made)

{com}. replace male_del = 0 if d102_sex1==2
{txt}(3,180 real changes made)

{com}. replace male_del = 0 if d102_sex1==3
{txt}(0 real changes made)

{com}. replace male_del = 0 if d102_sex1==4
{txt}(0 real changes made)

{com}. gen gay_male = .
{txt}(6,432 missing values generated)

{com}. replace gay_male = 0 if d102_sex1==1
{txt}(3,249 real changes made)

{com}. replace gay_male = 0 if d102_sex1==2
{txt}(3,180 real changes made)

{com}. replace gay_male = 1 if d102_sex1==3
{txt}(0 real changes made)

{com}. replace gay_male = 0 if d102_sex1==4
{txt}(0 real changes made)

{com}. gen gay_female = .
{txt}(6,432 missing values generated)

{com}. replace gay_female = 0 if d102_sex1==1
{txt}(3,249 real changes made)

{com}. replace gay_female = 0 if d102_sex1==2
{txt}(3,180 real changes made)

{com}. replace gay_female = 0 if d102_sex1==3
{txt}(0 real changes made)

{com}. replace gay_female = 1 if d102_sex1==4
{txt}(0 real changes made)

{com}. 
. gen high_school= .
{txt}(6,432 missing values generated)

{com}. replace high_school=1 if d102_edu1==1
{txt}(1,595 real changes made)

{com}. replace high_school=0 if d102_edu1==2
{txt}(1,581 real changes made)

{com}. replace high_school=0 if d102_edu1==3
{txt}(1,607 real changes made)

{com}. replace high_school=0 if d102_edu1==4
{txt}(1,646 real changes made)

{com}. gen bachelors=.
{txt}(6,432 missing values generated)

{com}. replace bachelors=1 if d102_edu1==2
{txt}(1,581 real changes made)

{com}. replace bachelors=0 if d102_edu1==1
{txt}(1,595 real changes made)

{com}. replace bachelors=0 if d102_edu1==3
{txt}(1,607 real changes made)

{com}. replace bachelors=0 if d102_edu1==4
{txt}(1,646 real changes made)

{com}. gen masters=.
{txt}(6,432 missing values generated)

{com}. replace masters=1 if d102_edu1==3
{txt}(1,607 real changes made)

{com}. replace masters=0 if d102_edu1==1
{txt}(1,595 real changes made)

{com}. replace masters=0 if d102_edu1==2
{txt}(1,581 real changes made)

{com}. replace masters=0 if d102_edu1==4
{txt}(1,646 real changes made)

{com}. gen doctorate=0
{txt}
{com}. replace doctorate=1 if d102_edu1==4
{txt}(1,646 real changes made)

{com}. replace doctorate=0 if d102_edu1==1
{txt}(0 real changes made)

{com}. replace doctorate=0 if d102_edu1==2
{txt}(0 real changes made)

{com}. replace doctorate=0 if d102_edu1==3
{txt}(0 real changes made)

{com}. 
. 
. gen party=.
{txt}(6,432 missing values generated)

{com}. replace party=1 if d102_party1==1
{txt}(3,167 real changes made)

{com}. replace party=0 if d102_party1==2
{txt}(3,261 real changes made)

{com}. gen non_party = .
{txt}(6,432 missing values generated)

{com}. replace non_party=1 if d102_party1==2
{txt}(3,261 real changes made)

{com}. replace non_party=0 if d102_party1==1
{txt}(3,167 real changes made)

{com}. 
. 
. gen ben_citizen = .
{txt}(6,432 missing values generated)

{com}. replace ben_citizen=1 if d102_ben1==1
{txt}(1,264 real changes made)

{com}. replace ben_citizen=0 if d102_ben1==2
{txt}(1,269 real changes made)

{com}. replace ben_citizen=0 if d102_ben1==3
{txt}(1,282 real changes made)

{com}. replace ben_citizen=0 if d102_ben1==4
{txt}(1,289 real changes made)

{com}. replace ben_citizen=0 if d102_ben1==5
{txt}(1,325 real changes made)

{com}. gen ben_biz = .
{txt}(6,432 missing values generated)

{com}. replace ben_biz=1 if d102_ben1==2
{txt}(1,269 real changes made)

{com}. replace ben_biz=0 if d102_ben1==1
{txt}(1,264 real changes made)

{com}. replace ben_biz=0 if d102_ben1==3
{txt}(1,282 real changes made)

{com}. replace ben_biz=0 if d102_ben1==4
{txt}(1,289 real changes made)

{com}. replace ben_biz=0 if d102_ben1==5
{txt}(1,325 real changes made)

{com}. gen ben_leaders = .
{txt}(6,432 missing values generated)

{com}. replace ben_leaders=1 if d102_ben1==3
{txt}(1,282 real changes made)

{com}. replace ben_leaders=0 if d102_ben1==1
{txt}(1,264 real changes made)

{com}. replace ben_leaders=0 if d102_ben1==2
{txt}(1,269 real changes made)

{com}. replace ben_leaders=0 if d102_ben1==4
{txt}(1,289 real changes made)

{com}. replace ben_leaders=0 if d102_ben1==5
{txt}(1,325 real changes made)

{com}. gen ben_social = .
{txt}(6,432 missing values generated)

{com}. replace ben_social=1 if d102_ben1==4
{txt}(1,289 real changes made)

{com}. replace ben_social=0 if d102_ben1==1
{txt}(1,264 real changes made)

{com}. replace ben_social=0 if d102_ben1==2
{txt}(1,269 real changes made)

{com}. replace ben_social=0 if d102_ben1==3
{txt}(1,282 real changes made)

{com}. replace ben_social=0 if d102_ben1==5
{txt}(1,325 real changes made)

{com}. gen ben_community = .
{txt}(6,432 missing values generated)

{com}. replace ben_community=1 if d102_ben1==5
{txt}(1,325 real changes made)

{com}. replace ben_community=0 if d102_ben1==1
{txt}(1,264 real changes made)

{com}. replace ben_community=0 if d102_ben1==2
{txt}(1,269 real changes made)

{com}. replace ben_community=0 if d102_ben1==3
{txt}(1,282 real changes made)

{com}. replace ben_community=0 if d102_ben1==4
{txt}(1,289 real changes made)

{com}. 
. 
. gen inclan = .
{txt}(6,432 missing values generated)

{com}. replace inclan = 0 if d102_rel1==1
{txt}(3,231 real changes made)

{com}. replace inclan = 1 if d102_rel1==2
{txt}(3,198 real changes made)

{com}. 
. gen outclan = .
{txt}(6,432 missing values generated)

{com}. replace outclan = 0 if d102_rel1==2
{txt}(3,198 real changes made)

{com}. replace outclan = 1 if d102_rel1==1
{txt}(3,231 real changes made)

{com}. 
. gen vote = .
{txt}(6,432 missing values generated)

{com}. replace vote = 0 if d102a==2
{txt}(2,806 real changes made)

{com}. replace vote = 1 if d102a==1
{txt}(3,086 real changes made)

{com}. replace vote = 0 if d102b==2
{txt}(0 real changes made)

{com}. replace vote = 1 if d102b==1
{txt}(0 real changes made)

{com}. replace vote = 0 if d102c==2
{txt}(0 real changes made)

{com}. replace vote = 1 if d102c==1
{txt}(0 real changes made)

{com}. replace vote = 0 if d102d==2
{txt}(0 real changes made)

{com}. replace vote = 1 if d102d==1
{txt}(0 real changes made)

{com}. 
. 
. save NA_formA.dta, replace
{txt}file NA_formA.dta saved

{com}. 
. use temp1, replace
{txt}
{com}. 
. gen client_group=1
{txt}
{com}. replace client_group=2 if  d101e_random >.333 & d101e_random<.666
{txt}(2,157 real changes made)

{com}. replace client_group=3 if  d101e_random>.666
{txt}(2,124 real changes made)

{com}. 
. * The following generates the randomized attributes for candidate 2
. gen age29 = .
{txt}(6,432 missing values generated)

{com}. replace age29 = 1 if d102_age2==3
{txt}(1,605 real changes made)

{com}. replace age29 = 0 if d102_age2==1
{txt}(1,621 real changes made)

{com}. replace age29 = 0 if d102_age2==4
{txt}(1,629 real changes made)

{com}. replace age29 = 0 if d102_age2==2
{txt}(1,574 real changes made)

{com}. gen age39 = .
{txt}(6,432 missing values generated)

{com}. replace age39 = 1 if d102_age2==1
{txt}(1,621 real changes made)

{com}. replace age39 = 0 if d102_age2==3
{txt}(1,605 real changes made)

{com}. replace age39 = 0 if d102_age2==4
{txt}(1,629 real changes made)

{com}. replace age39 = 0 if d102_age2==2
{txt}(1,574 real changes made)

{com}. gen age49 = .
{txt}(6,432 missing values generated)

{com}. replace age49 = 1 if d102_age2==4
{txt}(1,629 real changes made)

{com}. replace age49 = 0 if d102_age2==1
{txt}(1,621 real changes made)

{com}. replace age49 = 0 if d102_age2==2
{txt}(1,574 real changes made)

{com}. replace age49 = 0 if d102_age2==3
{txt}(1,605 real changes made)

{com}. gen age59 = .
{txt}(6,432 missing values generated)

{com}. replace age59 = 1 if d102_age2==2
{txt}(1,574 real changes made)

{com}. replace age59 = 0 if d102_age2==1
{txt}(1,621 real changes made)

{com}. replace age59 = 0 if d102_age2==3
{txt}(1,605 real changes made)

{com}. replace age59 = 0 if d102_age2==4
{txt}(1,629 real changes made)

{com}. 
. gen sex = d102_sex2
{txt}(3 missing values generated)

{com}. gen female = .
{txt}(6,432 missing values generated)

{com}. replace female = 1 if d102_sex2==2
{txt}(3,300 real changes made)

{com}. replace female = 0 if d102_sex2==1
{txt}(3,129 real changes made)

{com}. replace female = 0 if d102_sex2==3
{txt}(0 real changes made)

{com}. replace female = 0 if d102_sex2==4
{txt}(0 real changes made)

{com}. gen male_del = .
{txt}(6,432 missing values generated)

{com}. replace male_del = 1 if d102_sex2==1
{txt}(3,129 real changes made)

{com}. replace male_del = 0 if d102_sex2==2
{txt}(3,300 real changes made)

{com}. replace male_del = 0 if d102_sex2==3
{txt}(0 real changes made)

{com}. replace male_del = 0 if d102_sex2==4
{txt}(0 real changes made)

{com}. gen gay_male = .
{txt}(6,432 missing values generated)

{com}. replace gay_male = 0 if d102_sex2==1
{txt}(3,129 real changes made)

{com}. replace gay_male = 0 if d102_sex2==2
{txt}(3,300 real changes made)

{com}. replace gay_male = 1 if d102_sex2==3
{txt}(0 real changes made)

{com}. replace gay_male = 0 if d102_sex1==4
{txt}(0 real changes made)

{com}. gen gay_female = .
{txt}(6,432 missing values generated)

{com}. replace gay_female = 0 if d102_sex2==1
{txt}(3,129 real changes made)

{com}. replace gay_female = 0 if d102_sex2==2
{txt}(3,300 real changes made)

{com}. replace gay_female = 0 if d102_sex2==3
{txt}(0 real changes made)

{com}. replace gay_female = 1 if d102_sex2==4
{txt}(0 real changes made)

{com}. 
. 
. 
. gen high_school= .
{txt}(6,432 missing values generated)

{com}. replace high_school=1 if d102_edu2==1
{txt}(1,589 real changes made)

{com}. replace high_school=0 if d102_edu2==2
{txt}(1,558 real changes made)

{com}. replace high_school=0 if d102_edu2==3
{txt}(1,643 real changes made)

{com}. replace high_school=0 if d102_edu2==4
{txt}(1,639 real changes made)

{com}. gen bachelors=.
{txt}(6,432 missing values generated)

{com}. replace bachelors=1 if d102_edu2==2
{txt}(1,558 real changes made)

{com}. replace bachelors=0 if d102_edu2==1
{txt}(1,589 real changes made)

{com}. replace bachelors=0 if d102_edu2==3
{txt}(1,643 real changes made)

{com}. replace bachelors=0 if d102_edu2==4
{txt}(1,639 real changes made)

{com}. gen masters=.
{txt}(6,432 missing values generated)

{com}. replace masters=1 if d102_edu2==3
{txt}(1,643 real changes made)

{com}. replace masters=0 if d102_edu2==1
{txt}(1,589 real changes made)

{com}. replace masters=0 if d102_edu2==2
{txt}(1,558 real changes made)

{com}. replace masters=0 if d102_edu2==4
{txt}(1,639 real changes made)

{com}. gen doctorate=0
{txt}
{com}. replace doctorate=1 if d102_edu2==4
{txt}(1,639 real changes made)

{com}. replace doctorate=0 if d102_edu2==1
{txt}(0 real changes made)

{com}. replace doctorate=0 if d102_edu2==2
{txt}(0 real changes made)

{com}. replace doctorate=0 if d102_edu2==3
{txt}(0 real changes made)

{com}. 
. 
. gen party=.
{txt}(6,432 missing values generated)

{com}. replace party=1 if d102_party2==1
{txt}(3,219 real changes made)

{com}. replace party=0 if d102_party2==2
{txt}(3,210 real changes made)

{com}. gen non_party = .
{txt}(6,432 missing values generated)

{com}. replace non_party=1 if d102_party2==2
{txt}(3,210 real changes made)

{com}. replace non_party=0 if d102_party2==1
{txt}(3,219 real changes made)

{com}. 
. 
. gen ben_citizen = .
{txt}(6,432 missing values generated)

{com}. replace ben_citizen=1 if d102_ben2==1
{txt}(1,315 real changes made)

{com}. replace ben_citizen=0 if d102_ben2==2
{txt}(1,315 real changes made)

{com}. replace ben_citizen=0 if d102_ben2==3
{txt}(1,280 real changes made)

{com}. replace ben_citizen=0 if d102_ben2==4
{txt}(1,212 real changes made)

{com}. replace ben_citizen=0 if d102_ben2==5
{txt}(1,307 real changes made)

{com}. gen ben_biz = .
{txt}(6,432 missing values generated)

{com}. replace ben_biz=1 if d102_ben2==2
{txt}(1,315 real changes made)

{com}. replace ben_biz=0 if d102_ben2==1
{txt}(1,315 real changes made)

{com}. replace ben_biz=0 if d102_ben2==3
{txt}(1,280 real changes made)

{com}. replace ben_biz=0 if d102_ben2==4
{txt}(1,212 real changes made)

{com}. replace ben_biz=0 if d102_ben2==5
{txt}(1,307 real changes made)

{com}. gen ben_leaders = .
{txt}(6,432 missing values generated)

{com}. replace ben_leaders=1 if d102_ben2==3
{txt}(1,280 real changes made)

{com}. replace ben_leaders=0 if d102_ben2==1
{txt}(1,315 real changes made)

{com}. replace ben_leaders=0 if d102_ben2==2
{txt}(1,315 real changes made)

{com}. replace ben_leaders=0 if d102_ben2==4
{txt}(1,212 real changes made)

{com}. replace ben_leaders=0 if d102_ben2==5
{txt}(1,307 real changes made)

{com}. gen ben_social = .
{txt}(6,432 missing values generated)

{com}. replace ben_social=1 if d102_ben2==4
{txt}(1,212 real changes made)

{com}. replace ben_social=0 if d102_ben2==1
{txt}(1,315 real changes made)

{com}. replace ben_social=0 if d102_ben2==2
{txt}(1,315 real changes made)

{com}. replace ben_social=0 if d102_ben2==3
{txt}(1,280 real changes made)

{com}. replace ben_social=0 if d102_ben2==5
{txt}(1,307 real changes made)

{com}. gen ben_community = .
{txt}(6,432 missing values generated)

{com}. replace ben_community=1 if d102_ben2==5
{txt}(1,307 real changes made)

{com}. replace ben_community=0 if d102_ben2==1
{txt}(1,315 real changes made)

{com}. replace ben_community=0 if d102_ben2==2
{txt}(1,315 real changes made)

{com}. replace ben_community=0 if d102_ben2==3
{txt}(1,280 real changes made)

{com}. replace ben_community=0 if d102_ben2==4
{txt}(1,212 real changes made)

{com}. 
. 
. gen inclan = .
{txt}(6,432 missing values generated)

{com}. replace inclan = 0 if d102_rel2==1
{txt}(3,259 real changes made)

{com}. replace inclan = 1 if d102_rel2==2
{txt}(3,170 real changes made)

{com}. 
. gen outclan = .
{txt}(6,432 missing values generated)

{com}. replace outclan = 0 if d102_rel2==2
{txt}(3,170 real changes made)

{com}. replace outclan = 1 if d102_rel2==1
{txt}(3,259 real changes made)

{com}. 
. gen vote = .
{txt}(6,432 missing values generated)

{com}. replace vote = 1 if d102a==2
{txt}(2,806 real changes made)

{com}. replace vote = 0 if d102a==1
{txt}(3,086 real changes made)

{com}. replace vote = 1 if d102b==2
{txt}(0 real changes made)

{com}. replace vote = 0 if d102b==1
{txt}(0 real changes made)

{com}. replace vote = 1 if d102c==2
{txt}(0 real changes made)

{com}. replace vote = 0 if d102c==1
{txt}(0 real changes made)

{com}. replace vote = 1 if d102d==2
{txt}(0 real changes made)

{com}. replace vote = 0 if d102d==1
{txt}(0 real changes made)

{com}. 
. save NA_formB.dta, replace
{txt}file NA_formB.dta saved

{com}. 
. append using NA_formA.dta
{txt}(label khuvuc_vi already defined)
(label a001_vi already defined)
(label a005_vi already defined)
(label a006_vi already defined)
(label a016_opt1_vi already defined)
(label a016_opt2_vi already defined)
(label a016_opt3_vi already defined)
(label a016_opt4_vi already defined)
(label a016_opt5_vi already defined)
(label a016_opt6_vi already defined)
(label a016_opt7_vi already defined)
(label a016_opt8_vi already defined)
(label a016_opt9_vi already defined)
(label a016_opt10_vi already defined)
(label a016_opt11_vi already defined)
(label a016_opt12_vi already defined)
(label a016_opt13_vi already defined)
(label a016_opt14_vi already defined)
(label a016_opt15_vi already defined)
(label a016_opt16_vi already defined)
(label a016_opt17_vi already defined)
(label a016_opt18_vi already defined)
(label a016_opt19_vi already defined)
(label a016_opt20_vi already defined)
(label a016_opt21_vi already defined)
(label d101a_vi already defined)
(label d101aa_vi already defined)
(label d101e2_vi already defined)
(label d101e3_vi already defined)
(label d102a_vi already defined)
(label d102b_vi already defined)
(label d102c_vi already defined)
(label d102d_vi already defined)
(label d602aa_vi already defined)
(label d611ai_vi already defined)
(label khuvuc_en already defined)
(label a001_en already defined)
(label a005_en already defined)
(label a006_en already defined)
(label a016_opt1_en already defined)
(label a016_opt2_en already defined)
(label a016_opt3_en already defined)
(label a016_opt4_en already defined)
(label a016_opt5_en already defined)
(label a016_opt6_en already defined)
(label a016_opt7_en already defined)
(label a016_opt8_en already defined)
(label a016_opt9_en already defined)
(label a016_opt10_en already defined)
(label a016_opt11_en already defined)
(label a016_opt12_en already defined)
(label a016_opt13_en already defined)
(label a016_opt14_en already defined)
(label a016_opt15_en already defined)
(label a016_opt16_en already defined)
(label a016_opt17_en already defined)
(label a016_opt18_en already defined)
(label a016_opt19_en already defined)
(label a016_opt20_en already defined)
(label a016_opt21_en already defined)
(label d101a_en already defined)
(label d101aa_en already defined)
(label d101e2_en already defined)
(label d101e3_en already defined)
(label d102a_en already defined)
(label d102b_en already defined)
(label d102c_en already defined)
(label d102d_en already defined)
(label d602aa_en already defined)
(label d611ai_en already defined)

{com}. 
. gen client_important = .
{txt}(12,864 missing values generated)

{com}. replace client_important = 0 if d101e3==1
{txt}(590 real changes made)

{com}. replace client_important = 1 if d101e3==2
{txt}(534 real changes made)

{com}. replace client_important = 1 if d101e3==3
{txt}(2,454 real changes made)

{com}. 
. replace non_party=0 if non_party==.
{txt}(7 real changes made)

{com}. 
. 
. xtile income_pc = d611ai if d611ai!=. & d611ai<60, n(4)
{txt}
{com}. label var income_pc "Income Percentile"
{txt}
{com}. 
. xtile education_pc = a006 if a006!=. & a006<100, n(4)
{txt}
{com}. label var education_pc "Education Percentile"
{txt}
{com}. 
. 
. gen male = 0 
{txt}
{com}. replace male =1 if a001==1
{txt}(6,106 real changes made)

{com}. gen woman = 0 
{txt}
{com}. replace woman =1 if a001==2
{txt}(6,752 real changes made)

{com}. tab male

       {txt}male {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      6,758       52.53       52.53
{txt}          1 {c |}{res}      6,106       47.47      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     12,864      100.00
{txt}
{com}. gen age = a002
{txt}(8 missing values generated)

{com}. mean age
{res}
{txt}Mean estimation{col 35}Number of obs{col 51}= {res}    12,856

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}       Mean{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 9}age {c |}{col 14}{res}{space 2} 49.70862{col 26}{space 2} .1075764{col 37}{space 5} 49.49775{col 51}{space 3} 49.91948
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}

{com}. 
. 
. gen women_union = 0
{txt}
{com}. replace women_union =1 if a016_opt17==1
{txt}(2,392 real changes made)

{com}. gen youth_union = 0
{txt}
{com}. replace youth_union = 1 if a016_opt18 ==1
{txt}(470 real changes made)

{com}. gen farmer_union = 0
{txt}
{com}. replace farmer_union = 1 if a016_opt9 ==1
{txt}(1,128 real changes made)

{com}. gen labor_union = 0
{txt}
{com}. replace labor_union = 1 if a016_opt8 ==1
{txt}(778 real changes made)

{com}. gen mass_org=0
{txt}
{com}. replace mass_org = 1 if women_union==1
{txt}(2,392 real changes made)

{com}. replace mass_org = 1 if farmer_union==1
{txt}(756 real changes made)

{com}. replace mass_org = 1 if youth_union==1
{txt}(400 real changes made)

{com}. replace mass_org = 1 if labor_union==1
{txt}(498 real changes made)

{com}. gen party_mem = 0
{txt}
{com}. replace party_mem = 1 if a016_opt1==1
{txt}(1,514 real changes made)

{com}. gen social_ins=0
{txt}
{com}. replace social_ins=1 if d602aa==1
{txt}(3,614 real changes made)

{com}. gen kinh = 1
{txt}
{com}. replace kinh = 0 if a005!=1
{txt}(2,038 real changes made)

{com}. 
. label define female  1  "Woman Candidate" 0 "Man Candidate" 
{txt}
{com}. label values female female
{txt}
{com}. 
. 
. reg vote  i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan i.female  if  client_group==1, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,923
                                                {txt}F(12, 1961)       =  {res}    34.66
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0819
                                                {txt}Root MSE          =    {res}  .4799

{txt}{ralign 82:(Std. Err. adjusted for {res:1,962} clusters in id)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}            vote{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.ben_community {c |}{col 18}{res}{space 2}-.0120374{col 30}{space 2} .0206758{col 41}{space 1}   -0.58{col 50}{space 3}0.560{col 58}{space 4}-.0525863{col 71}{space 3} .0285114
{txt}{space 7}1.ben_biz {c |}{col 18}{res}{space 2}-.0321906{col 30}{space 2} .0214196{col 41}{space 1}   -1.50{col 50}{space 3}0.133{col 58}{space 4}-.0741983{col 71}{space 3}  .009817
{txt}{space 3}1.ben_leaders {c |}{col 18}{res}{space 2} .0092773{col 30}{space 2}  .021282{col 41}{space 1}    0.44{col 50}{space 3}0.663{col 58}{space 4}-.0324604{col 71}{space 3} .0510149
{txt}{space 9}1.age59 {c |}{col 18}{res}{space 2}-.0787062{col 30}{space 2} .0218127{col 41}{space 1}   -3.61{col 50}{space 3}0.000{col 58}{space 4}-.1214847{col 71}{space 3}-.0359278
{txt}{space 9}1.age49 {c |}{col 18}{res}{space 2}-.0070051{col 30}{space 2} .0218246{col 41}{space 1}   -0.32{col 50}{space 3}0.748{col 58}{space 4}-.0498069{col 71}{space 3} .0357967
{txt}{space 9}1.age39 {c |}{col 18}{res}{space 2}  .032733{col 30}{space 2} .0219163{col 41}{space 1}    1.49{col 50}{space 3}0.135{col 58}{space 4}-.0102486{col 71}{space 3} .0757146
{txt}{space 5}1.doctorate {c |}{col 18}{res}{space 2} .2688249{col 30}{space 2} .0210614{col 41}{space 1}   12.76{col 50}{space 3}0.000{col 58}{space 4} .2275197{col 71}{space 3}   .31013
{txt}{space 7}1.masters {c |}{col 18}{res}{space 2} .2260042{col 30}{space 2} .0216033{col 41}{space 1}   10.46{col 50}{space 3}0.000{col 58}{space 4} .1836363{col 71}{space 3} .2683722
{txt}{space 5}1.bachelors {c |}{col 18}{res}{space 2} .1900343{col 30}{space 2} .0216225{col 41}{space 1}    8.79{col 50}{space 3}0.000{col 58}{space 4} .1476288{col 71}{space 3} .2324397
{txt}{space 5}1.non_party {c |}{col 18}{res}{space 2}-.1904745{col 30}{space 2} .0152129{col 41}{space 1}  -12.52{col 50}{space 3}0.000{col 58}{space 4}-.2203096{col 71}{space 3}-.1606393
{txt}{space 8}1.inclan {c |}{col 18}{res}{space 2}   -.0158{col 30}{space 2} .0153705{col 41}{space 1}   -1.03{col 50}{space 3}0.304{col 58}{space 4}-.0459442{col 71}{space 3} .0143442
{txt}{space 16} {c |}
{space 10}female {c |}
Woman Candidate  {c |}{col 18}{res}{space 2}-.0049163{col 30}{space 2} .0155446{col 41}{space 1}   -0.32{col 50}{space 3}0.752{col 58}{space 4} -.035402{col 71}{space 3} .0255695
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .4496852{col 30}{space 2} .0249444{col 41}{space 1}   18.03{col 50}{space 3}0.000{col 58}{space 4} .4007648{col 71}{space 3} .4986056
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using main_results_11_11, e(all) replace
{browse `"/Users/pschuler/Dropbox/projects/papi gender/clientelism/do file/replication"' :dir} : {txt}{stata `"seeout using "main_results_11_11.txt""':seeout}

{com}. margins, dydx(  i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan  i.female )
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,923
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.ben_community 1.ben_biz 1.ben_leaders 1.age59 1.age49 1.age39 1.doctorate 1.masters 1.bachelors 1.non_party 1.inclan 1.female}{p_end}
{p2colreset}{...}

{res}{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30} Delta-method
{col 18}{c |}      dy/dx{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.ben_community {c |}{col 18}{res}{space 2}-.0120374{col 30}{space 2} .0206758{col 41}{space 1}   -0.58{col 50}{space 3}0.560{col 58}{space 4}-.0525863{col 71}{space 3} .0285114
{txt}{space 7}1.ben_biz {c |}{col 18}{res}{space 2}-.0321906{col 30}{space 2} .0214196{col 41}{space 1}   -1.50{col 50}{space 3}0.133{col 58}{space 4}-.0741983{col 71}{space 3}  .009817
{txt}{space 3}1.ben_leaders {c |}{col 18}{res}{space 2} .0092773{col 30}{space 2}  .021282{col 41}{space 1}    0.44{col 50}{space 3}0.663{col 58}{space 4}-.0324604{col 71}{space 3} .0510149
{txt}{space 9}1.age59 {c |}{col 18}{res}{space 2}-.0787062{col 30}{space 2} .0218127{col 41}{space 1}   -3.61{col 50}{space 3}0.000{col 58}{space 4}-.1214847{col 71}{space 3}-.0359278
{txt}{space 9}1.age49 {c |}{col 18}{res}{space 2}-.0070051{col 30}{space 2} .0218246{col 41}{space 1}   -0.32{col 50}{space 3}0.748{col 58}{space 4}-.0498069{col 71}{space 3} .0357967
{txt}{space 9}1.age39 {c |}{col 18}{res}{space 2}  .032733{col 30}{space 2} .0219163{col 41}{space 1}    1.49{col 50}{space 3}0.135{col 58}{space 4}-.0102486{col 71}{space 3} .0757146
{txt}{space 5}1.doctorate {c |}{col 18}{res}{space 2} .2688249{col 30}{space 2} .0210614{col 41}{space 1}   12.76{col 50}{space 3}0.000{col 58}{space 4} .2275197{col 71}{space 3}   .31013
{txt}{space 7}1.masters {c |}{col 18}{res}{space 2} .2260042{col 30}{space 2} .0216033{col 41}{space 1}   10.46{col 50}{space 3}0.000{col 58}{space 4} .1836363{col 71}{space 3} .2683722
{txt}{space 5}1.bachelors {c |}{col 18}{res}{space 2} .1900343{col 30}{space 2} .0216225{col 41}{space 1}    8.79{col 50}{space 3}0.000{col 58}{space 4} .1476288{col 71}{space 3} .2324397
{txt}{space 5}1.non_party {c |}{col 18}{res}{space 2}-.1904745{col 30}{space 2} .0152129{col 41}{space 1}  -12.52{col 50}{space 3}0.000{col 58}{space 4}-.2203096{col 71}{space 3}-.1606393
{txt}{space 8}1.inclan {c |}{col 18}{res}{space 2}   -.0158{col 30}{space 2} .0153705{col 41}{space 1}   -1.03{col 50}{space 3}0.304{col 58}{space 4}-.0459442{col 71}{space 3} .0143442
{txt}{space 16} {c |}
{space 10}female {c |}
Woman Candidate  {c |}{col 18}{res}{space 2}-.0049163{col 30}{space 2} .0155446{col 41}{space 1}   -0.32{col 50}{space 3}0.752{col 58}{space 4} -.035402{col 71}{space 3} .0255695
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 82}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot,  horizontal plotopts(connect(none)) xline(0, lpattern(dash) lwidth(thick) lcolor(maroon)) title("")   recastci(rcap) ciopts(lcolor(navy) lwidth(thick) mcolor(navy) msymbol(i) msize(tiny)) ylabel( 1 "Focus - Community" 2 "Focus - Business" 3 "Focus - Leader" 4 "Age - 59"  5 "Age - 49" 6 "Age - 39"  7 "Education - Doctor" 8 "Education - Masters" 9 "Education - Bachelors" 10 "Non-Party Member" 11 "In Family Network" 12 "Woman", labsize(vsmall))  xtitle("AMCE on Vote Choice", size(small) margin(medium))  xlabel(-.25(.05).25)  ytitle("") title("Control Group")
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: _deriv{p_end}
{res}{txt}
{com}. graph save control_11_11, replace
{res}{txt}(file control_11_11.gph saved)

{com}. 
. reg vote  i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan i.female  if  client_group==2, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,988
                                                {txt}F(12, 1993)       =  {res}    47.13
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1031
                                                {txt}Root MSE          =    {res} .47431

{txt}{ralign 82:(Std. Err. adjusted for {res:1,994} clusters in id)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}            vote{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.ben_community {c |}{col 18}{res}{space 2}-.0090973{col 30}{space 2} .0204312{col 41}{space 1}   -0.45{col 50}{space 3}0.656{col 58}{space 4} -.049166{col 71}{space 3} .0309714
{txt}{space 7}1.ben_biz {c |}{col 18}{res}{space 2}-.0572152{col 30}{space 2} .0213814{col 41}{space 1}   -2.68{col 50}{space 3}0.008{col 58}{space 4}-.0991474{col 71}{space 3}-.0152829
{txt}{space 3}1.ben_leaders {c |}{col 18}{res}{space 2}-.0432118{col 30}{space 2} .0205425{col 41}{space 1}   -2.10{col 50}{space 3}0.036{col 58}{space 4}-.0834988{col 71}{space 3}-.0029247
{txt}{space 9}1.age59 {c |}{col 18}{res}{space 2}-.0469528{col 30}{space 2} .0219539{col 41}{space 1}   -2.14{col 50}{space 3}0.033{col 58}{space 4}-.0900078{col 71}{space 3}-.0038978
{txt}{space 9}1.age49 {c |}{col 18}{res}{space 2}-.0019095{col 30}{space 2} .0214958{col 41}{space 1}   -0.09{col 50}{space 3}0.929{col 58}{space 4}-.0440661{col 71}{space 3} .0402471
{txt}{space 9}1.age39 {c |}{col 18}{res}{space 2} .0552026{col 30}{space 2} .0210631{col 41}{space 1}    2.62{col 50}{space 3}0.009{col 58}{space 4} .0138946{col 71}{space 3} .0965106
{txt}{space 5}1.doctorate {c |}{col 18}{res}{space 2} .2858144{col 30}{space 2} .0206073{col 41}{space 1}   13.87{col 50}{space 3}0.000{col 58}{space 4} .2454003{col 71}{space 3} .3262284
{txt}{space 7}1.masters {c |}{col 18}{res}{space 2} .2461212{col 30}{space 2} .0209591{col 41}{space 1}   11.74{col 50}{space 3}0.000{col 58}{space 4} .2050171{col 71}{space 3} .2872252
{txt}{space 5}1.bachelors {c |}{col 18}{res}{space 2} .1708746{col 30}{space 2} .0210441{col 41}{space 1}    8.12{col 50}{space 3}0.000{col 58}{space 4}  .129604{col 71}{space 3} .2121453
{txt}{space 5}1.non_party {c |}{col 18}{res}{space 2}-.2155375{col 30}{space 2} .0147516{col 41}{space 1}  -14.61{col 50}{space 3}0.000{col 58}{space 4}-.2444675{col 71}{space 3}-.1866074
{txt}{space 8}1.inclan {c |}{col 18}{res}{space 2} .0319694{col 30}{space 2} .0153973{col 41}{space 1}    2.08{col 50}{space 3}0.038{col 58}{space 4}  .001773{col 71}{space 3} .0621659
{txt}{space 16} {c |}
{space 10}female {c |}
Woman Candidate  {c |}{col 18}{res}{space 2}-.0014953{col 30}{space 2} .0150957{col 41}{space 1}   -0.10{col 50}{space 3}0.921{col 58}{space 4}-.0311004{col 71}{space 3} .0281097
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .4365594{col 30}{space 2}  .024836{col 41}{space 1}   17.58{col 50}{space 3}0.000{col 58}{space 4} .3878522{col 71}{space 3} .4852666
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using main_results_11_11, e(all) 
{browse `"/Users/pschuler/Dropbox/projects/papi gender/clientelism/do file/replication"' :dir} : {txt}{stata `"seeout using "main_results_11_11.txt""':seeout}

{com}. margins, dydx(  i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan  i.female )
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,988
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.ben_community 1.ben_biz 1.ben_leaders 1.age59 1.age49 1.age39 1.doctorate 1.masters 1.bachelors 1.non_party 1.inclan 1.female}{p_end}
{p2colreset}{...}

{res}{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30} Delta-method
{col 18}{c |}      dy/dx{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.ben_community {c |}{col 18}{res}{space 2}-.0090973{col 30}{space 2} .0204312{col 41}{space 1}   -0.45{col 50}{space 3}0.656{col 58}{space 4} -.049166{col 71}{space 3} .0309714
{txt}{space 7}1.ben_biz {c |}{col 18}{res}{space 2}-.0572152{col 30}{space 2} .0213814{col 41}{space 1}   -2.68{col 50}{space 3}0.008{col 58}{space 4}-.0991474{col 71}{space 3}-.0152829
{txt}{space 3}1.ben_leaders {c |}{col 18}{res}{space 2}-.0432118{col 30}{space 2} .0205425{col 41}{space 1}   -2.10{col 50}{space 3}0.036{col 58}{space 4}-.0834988{col 71}{space 3}-.0029247
{txt}{space 9}1.age59 {c |}{col 18}{res}{space 2}-.0469528{col 30}{space 2} .0219539{col 41}{space 1}   -2.14{col 50}{space 3}0.033{col 58}{space 4}-.0900078{col 71}{space 3}-.0038978
{txt}{space 9}1.age49 {c |}{col 18}{res}{space 2}-.0019095{col 30}{space 2} .0214958{col 41}{space 1}   -0.09{col 50}{space 3}0.929{col 58}{space 4}-.0440661{col 71}{space 3} .0402471
{txt}{space 9}1.age39 {c |}{col 18}{res}{space 2} .0552026{col 30}{space 2} .0210631{col 41}{space 1}    2.62{col 50}{space 3}0.009{col 58}{space 4} .0138946{col 71}{space 3} .0965106
{txt}{space 5}1.doctorate {c |}{col 18}{res}{space 2} .2858144{col 30}{space 2} .0206073{col 41}{space 1}   13.87{col 50}{space 3}0.000{col 58}{space 4} .2454003{col 71}{space 3} .3262284
{txt}{space 7}1.masters {c |}{col 18}{res}{space 2} .2461212{col 30}{space 2} .0209591{col 41}{space 1}   11.74{col 50}{space 3}0.000{col 58}{space 4} .2050171{col 71}{space 3} .2872252
{txt}{space 5}1.bachelors {c |}{col 18}{res}{space 2} .1708746{col 30}{space 2} .0210441{col 41}{space 1}    8.12{col 50}{space 3}0.000{col 58}{space 4}  .129604{col 71}{space 3} .2121453
{txt}{space 5}1.non_party {c |}{col 18}{res}{space 2}-.2155375{col 30}{space 2} .0147516{col 41}{space 1}  -14.61{col 50}{space 3}0.000{col 58}{space 4}-.2444675{col 71}{space 3}-.1866074
{txt}{space 8}1.inclan {c |}{col 18}{res}{space 2} .0319694{col 30}{space 2} .0153973{col 41}{space 1}    2.08{col 50}{space 3}0.038{col 58}{space 4}  .001773{col 71}{space 3} .0621659
{txt}{space 16} {c |}
{space 10}female {c |}
Woman Candidate  {c |}{col 18}{res}{space 2}-.0014953{col 30}{space 2} .0150957{col 41}{space 1}   -0.10{col 50}{space 3}0.921{col 58}{space 4}-.0311004{col 71}{space 3} .0281097
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 82}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot,  horizontal plotopts(connect(none)) xline(0, lpattern(dash) lwidth(thick) lcolor(maroon)) title("")   recastci(rcap) ciopts(lcolor(navy) lwidth(thick) mcolor(navy) msymbol(i) msize(tiny)) ylabel( 1 "Focus - Community" 2 "Focus - Business" 3 "Focus - Leader" 4 "Age - 59"  5 "Age - 49" 6 "Age - 39"  7 "Education - Doctor" 8 "Education - Masters" 9 "Education - Bachelors" 10 "Non-Party Member" 11 "In Family Network" 12 "Woman", labsize(vsmall))  xtitle("AMCE on Vote Choice", size(vsmall) margin(medium)) xlabel(-.25(.05).25)  ytitle("") title("Honesty Treatment")
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: _deriv{p_end}
{res}{txt}
{com}. 
. 
. 
. reg vote  i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan i.female  if   client_group==3, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,872
                                                {txt}F(12, 1935)       =  {res}    30.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0762
                                                {txt}Root MSE          =    {res} .48139

{txt}{ralign 82:(Std. Err. adjusted for {res:1,936} clusters in id)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}            vote{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.ben_community {c |}{col 18}{res}{space 2} .0486015{col 30}{space 2} .0214509{col 41}{space 1}    2.27{col 50}{space 3}0.024{col 58}{space 4} .0065321{col 71}{space 3} .0906709
{txt}{space 7}1.ben_biz {c |}{col 18}{res}{space 2}-.0327571{col 30}{space 2} .0209586{col 41}{space 1}   -1.56{col 50}{space 3}0.118{col 58}{space 4}-.0738608{col 71}{space 3} .0083467
{txt}{space 3}1.ben_leaders {c |}{col 18}{res}{space 2}  .011622{col 30}{space 2}  .021607{col 41}{space 1}    0.54{col 50}{space 3}0.591{col 58}{space 4}-.0307535{col 71}{space 3} .0539975
{txt}{space 9}1.age59 {c |}{col 18}{res}{space 2}-.0684239{col 30}{space 2} .0219177{col 41}{space 1}   -3.12{col 50}{space 3}0.002{col 58}{space 4}-.1114087{col 71}{space 3} -.025439
{txt}{space 9}1.age49 {c |}{col 18}{res}{space 2} .0042549{col 30}{space 2} .0220212{col 41}{space 1}    0.19{col 50}{space 3}0.847{col 58}{space 4}-.0389329{col 71}{space 3} .0474428
{txt}{space 9}1.age39 {c |}{col 18}{res}{space 2} .0159337{col 30}{space 2} .0215614{col 41}{space 1}    0.74{col 50}{space 3}0.460{col 58}{space 4}-.0263524{col 71}{space 3} .0582197
{txt}{space 5}1.doctorate {c |}{col 18}{res}{space 2} .2475572{col 30}{space 2} .0213748{col 41}{space 1}   11.58{col 50}{space 3}0.000{col 58}{space 4} .2056371{col 71}{space 3} .2894772
{txt}{space 7}1.masters {c |}{col 18}{res}{space 2} .2086125{col 30}{space 2} .0212817{col 41}{space 1}    9.80{col 50}{space 3}0.000{col 58}{space 4} .1668751{col 71}{space 3} .2503499
{txt}{space 5}1.bachelors {c |}{col 18}{res}{space 2} .1699359{col 30}{space 2} .0223142{col 41}{space 1}    7.62{col 50}{space 3}0.000{col 58}{space 4} .1261735{col 71}{space 3} .2136983
{txt}{space 5}1.non_party {c |}{col 18}{res}{space 2}-.1845747{col 30}{space 2} .0153259{col 41}{space 1}  -12.04{col 50}{space 3}0.000{col 58}{space 4}-.2146317{col 71}{space 3}-.1545177
{txt}{space 8}1.inclan {c |}{col 18}{res}{space 2} .0044599{col 30}{space 2} .0159053{col 41}{space 1}    0.28{col 50}{space 3}0.779{col 58}{space 4}-.0267335{col 71}{space 3} .0356532
{txt}{space 16} {c |}
{space 10}female {c |}
Woman Candidate  {c |}{col 18}{res}{space 2} -.033028{col 30}{space 2} .0155891{col 41}{space 1}   -2.12{col 50}{space 3}0.034{col 58}{space 4}-.0636012{col 71}{space 3}-.0024547
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .4597366{col 30}{space 2} .0250806{col 41}{space 1}   18.33{col 50}{space 3}0.000{col 58}{space 4} .4105489{col 71}{space 3} .5089244
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using main_results_11_11, e(all)
{browse `"/Users/pschuler/Dropbox/projects/papi gender/clientelism/do file/replication"' :dir} : {txt}{stata `"seeout using "main_results_11_11.txt""':seeout}

{com}. margins, dydx(  i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan  i.female )
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,872
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.ben_community 1.ben_biz 1.ben_leaders 1.age59 1.age49 1.age39 1.doctorate 1.masters 1.bachelors 1.non_party 1.inclan 1.female}{p_end}
{p2colreset}{...}

{res}{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30} Delta-method
{col 18}{c |}      dy/dx{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.ben_community {c |}{col 18}{res}{space 2} .0486015{col 30}{space 2} .0214509{col 41}{space 1}    2.27{col 50}{space 3}0.024{col 58}{space 4} .0065321{col 71}{space 3} .0906709
{txt}{space 7}1.ben_biz {c |}{col 18}{res}{space 2}-.0327571{col 30}{space 2} .0209586{col 41}{space 1}   -1.56{col 50}{space 3}0.118{col 58}{space 4}-.0738608{col 71}{space 3} .0083467
{txt}{space 3}1.ben_leaders {c |}{col 18}{res}{space 2}  .011622{col 30}{space 2}  .021607{col 41}{space 1}    0.54{col 50}{space 3}0.591{col 58}{space 4}-.0307535{col 71}{space 3} .0539975
{txt}{space 9}1.age59 {c |}{col 18}{res}{space 2}-.0684239{col 30}{space 2} .0219177{col 41}{space 1}   -3.12{col 50}{space 3}0.002{col 58}{space 4}-.1114087{col 71}{space 3} -.025439
{txt}{space 9}1.age49 {c |}{col 18}{res}{space 2} .0042549{col 30}{space 2} .0220212{col 41}{space 1}    0.19{col 50}{space 3}0.847{col 58}{space 4}-.0389329{col 71}{space 3} .0474428
{txt}{space 9}1.age39 {c |}{col 18}{res}{space 2} .0159337{col 30}{space 2} .0215614{col 41}{space 1}    0.74{col 50}{space 3}0.460{col 58}{space 4}-.0263524{col 71}{space 3} .0582197
{txt}{space 5}1.doctorate {c |}{col 18}{res}{space 2} .2475572{col 30}{space 2} .0213748{col 41}{space 1}   11.58{col 50}{space 3}0.000{col 58}{space 4} .2056371{col 71}{space 3} .2894772
{txt}{space 7}1.masters {c |}{col 18}{res}{space 2} .2086125{col 30}{space 2} .0212817{col 41}{space 1}    9.80{col 50}{space 3}0.000{col 58}{space 4} .1668751{col 71}{space 3} .2503499
{txt}{space 5}1.bachelors {c |}{col 18}{res}{space 2} .1699359{col 30}{space 2} .0223142{col 41}{space 1}    7.62{col 50}{space 3}0.000{col 58}{space 4} .1261735{col 71}{space 3} .2136983
{txt}{space 5}1.non_party {c |}{col 18}{res}{space 2}-.1845747{col 30}{space 2} .0153259{col 41}{space 1}  -12.04{col 50}{space 3}0.000{col 58}{space 4}-.2146317{col 71}{space 3}-.1545177
{txt}{space 8}1.inclan {c |}{col 18}{res}{space 2} .0044599{col 30}{space 2} .0159053{col 41}{space 1}    0.28{col 50}{space 3}0.779{col 58}{space 4}-.0267335{col 71}{space 3} .0356532
{txt}{space 16} {c |}
{space 10}female {c |}
Woman Candidate  {c |}{col 18}{res}{space 2} -.033028{col 30}{space 2} .0155891{col 41}{space 1}   -2.12{col 50}{space 3}0.034{col 58}{space 4}-.0636012{col 71}{space 3}-.0024547
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 82}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot,  horizontal plotopts(connect(none)) xline(0, lpattern(dash) lwidth(thick) lcolor(maroon)) title("")   recastci(rcap) ciopts(lcolor(navy) lwidth(thick) mcolor(navy) msymbol(i) msize(tiny)) ylabel( 1 "Focus - Community" 2 "Focus - Business" 3 "Focus - Leader" 4 "Age - 59"  5 "Age - 49" 6 "Age - 39"  7 "Education - Doctor" 8 "Education - Masters" 9 "Education - Bachelors" 10 "Non-Party Member" 11 "In Family Network" 12 "Woman", labsize(vsmall))  xtitle("AMCE on Vote Choice", size(vsmall) margin(medium)) xlabel(-.25(.05).25)  ytitle("") title("Clientelism Treatment")
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: _deriv{p_end}
{res}{txt}
{com}. 
. 
. gen client_group2 =.
{txt}(12,864 missing values generated)

{com}. replace client_group2=1 if client_group==1
{txt}(4,302 real changes made)

{com}. replace client_group2=2 if client_group==3
{txt}(4,248 real changes made)

{com}. 
. 
. reg vote  i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan i.female##i.client_group2   , cluster(id)

{txt}Linear regression                               Number of obs     = {res}     7,795
                                                {txt}F(14, 3897)       =  {res}    54.87
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0781
                                                {txt}Root MSE          =    {res} .48053

{txt}{ralign 86:(Std. Err. adjusted for {res:3,898} clusters in id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}                vote{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.ben_community {c |}{col 22}{res}{space 2} .0170805{col 34}{space 2} .0148853{col 45}{space 1}    1.15{col 54}{space 3}0.251{col 62}{space 4}-.0121033{col 75}{space 3} .0462643
{txt}{space 11}1.ben_biz {c |}{col 22}{res}{space 2}-.0328173{col 34}{space 2} .0149663{col 45}{space 1}   -2.19{col 54}{space 3}0.028{col 62}{space 4}-.0621597{col 75}{space 3}-.0034748
{txt}{space 7}1.ben_leaders {c |}{col 22}{res}{space 2} .0103356{col 34}{space 2}  .015143{col 45}{space 1}    0.68{col 54}{space 3}0.495{col 62}{space 4}-.0193534{col 75}{space 3} .0400246
{txt}{space 13}1.age59 {c |}{col 22}{res}{space 2}-.0739975{col 34}{space 2} .0154498{col 45}{space 1}   -4.79{col 54}{space 3}0.000{col 62}{space 4} -.104288{col 75}{space 3} -.043707
{txt}{space 13}1.age49 {c |}{col 22}{res}{space 2}-.0016758{col 34}{space 2} .0154847{col 45}{space 1}   -0.11{col 54}{space 3}0.914{col 62}{space 4}-.0320347{col 75}{space 3} .0286832
{txt}{space 13}1.age39 {c |}{col 22}{res}{space 2} .0241989{col 34}{space 2} .0153706{col 45}{space 1}    1.57{col 54}{space 3}0.115{col 62}{space 4}-.0059363{col 75}{space 3} .0543341
{txt}{space 9}1.doctorate {c |}{col 22}{res}{space 2} .2580226{col 34}{space 2} .0149714{col 45}{space 1}   17.23{col 54}{space 3}0.000{col 62}{space 4}   .22867{col 75}{space 3} .2873752
{txt}{space 11}1.masters {c |}{col 22}{res}{space 2} .2169199{col 34}{space 2} .0151346{col 45}{space 1}   14.33{col 54}{space 3}0.000{col 62}{space 4} .1872474{col 75}{space 3} .2465923
{txt}{space 9}1.bachelors {c |}{col 22}{res}{space 2} .1798244{col 34}{space 2} .0155234{col 45}{space 1}   11.58{col 54}{space 3}0.000{col 62}{space 4} .1493896{col 75}{space 3} .2102592
{txt}{space 9}1.non_party {c |}{col 22}{res}{space 2}-.1882082{col 34}{space 2} .0107781{col 45}{space 1}  -17.46{col 54}{space 3}0.000{col 62}{space 4}-.2093395{col 75}{space 3} -.167077
{txt}{space 12}1.inclan {c |}{col 22}{res}{space 2}-.0059718{col 34}{space 2} .0110477{col 45}{space 1}   -0.54{col 54}{space 3}0.589{col 62}{space 4}-.0276316{col 75}{space 3}  .015688
{txt}{space 20} {c |}
{space 14}female {c |}
{space 4}Woman Candidate  {c |}{col 22}{res}{space 2}-.0044276{col 34}{space 2}  .015528{col 45}{space 1}   -0.29{col 54}{space 3}0.776{col 62}{space 4}-.0348714{col 75}{space 3} .0260162
{txt}{space 5}2.client_group2 {c |}{col 22}{res}{space 2} .0223368{col 34}{space 2} .0115909{col 45}{space 1}    1.93{col 54}{space 3}0.054{col 62}{space 4} -.000388{col 75}{space 3} .0450617
{txt}{space 20} {c |}
female#client_group2 {c |}
{space 2}Woman Candidate#2  {c |}{col 22}{res}{space 2}-.0284793{col 34}{space 2} .0220041{col 45}{space 1}   -1.29{col 54}{space 3}0.196{col 62}{space 4}  -.07162{col 75}{space 3} .0146613
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .4444914{col 34}{space 2} .0184486{col 45}{space 1}   24.09{col 54}{space 3}0.000{col 62}{space 4} .4083215{col 75}{space 3} .4806613
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. outreg2 using main_results_11_11, e(all) excel
{txt}{browse `"main_results_11_11.xml"'}
{browse `"/Users/pschuler/Dropbox/projects/papi gender/clientelism/do file/replication"' :dir}{com} : {txt}{stata `"seeout using "main_results_11_11.txt""':seeout}

{com}. 
. 
. reg vote i.female##i.client_group2 , cluster(id)

{txt}Linear regression                               Number of obs     = {res}     7,796
                                                {txt}F(3, 3897)        =  {res}     1.80
                                                {txt}Prob > F          = {res}    0.1456
                                                {txt}R-squared         = {res}    0.0007
                                                {txt}Root MSE          =    {res} .49995

{txt}{ralign 86:(Std. Err. adjusted for {res:3,898} clusters in id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}                vote{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}
{space 4}Woman Candidate  {c |}{col 22}{res}{space 2}-.0096864{col 34}{space 2} .0161656{col 45}{space 1}   -0.60{col 54}{space 3}0.549{col 62}{space 4}-.0413803{col 75}{space 3} .0220074
{txt}{space 5}2.client_group2 {c |}{col 22}{res}{space 2} .0133284{col 34}{space 2} .0115629{col 45}{space 1}    1.15{col 54}{space 3}0.249{col 62}{space 4}-.0093414{col 75}{space 3} .0359983
{txt}{space 20} {c |}
female#client_group2 {c |}
{space 2}Woman Candidate#2  {c |}{col 22}{res}{space 2}-.0264737{col 34}{space 2} .0228312{col 45}{space 1}   -1.16{col 54}{space 3}0.246{col 62}{space 4}-.0712359{col 75}{space 3} .0182884
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .5049197{col 34}{space 2} .0082109{col 45}{space 1}   61.49{col 54}{space 3}0.000{col 62}{space 4} .4888217{col 75}{space 3} .5210177
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins client_group2#female
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     7,796
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34} Delta-method
{col 22}{c |}     Margin{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
client_group2#female {c |}
{space 4}1#Man Candidate  {c |}{col 22}{res}{space 2} .5049197{col 34}{space 2} .0082109{col 45}{space 1}   61.49{col 54}{space 3}0.000{col 62}{space 4} .4888217{col 75}{space 3} .5210177
{txt}{space 2}1#Woman Candidate  {c |}{col 22}{res}{space 2} .4952333{col 34}{space 2} .0079555{col 45}{space 1}   62.25{col 54}{space 3}0.000{col 62}{space 4} .4796361{col 75}{space 3} .5108306
{txt}{space 4}2#Man Candidate  {c |}{col 22}{res}{space 2} .5182482{col 34}{space 2} .0081413{col 45}{space 1}   63.66{col 54}{space 3}0.000{col 62}{space 4} .5022865{col 75}{space 3} .5342099
{txt}{space 2}2#Woman Candidate  {c |}{col 22}{res}{space 2}  .482088{col 34}{space 2} .0079915{col 45}{space 1}   60.32{col 54}{space 3}0.000{col 62}{space 4}   .46642{col 75}{space 3}  .497756
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, offset(0.15) plot1opts(connect(no) msize(medlarge) msymbol(triangle) mcolor(gs4)) plot2opts(connect(no) msize(medlarge)  mcolor(gs8))  xlabel(.6 " " 1 "Control" 2  "Clientelism Treatment" 2.4 " ", notick labsize(small)) xtitle(" ") title("") legend(pos(6) row(1)) ci1opts(lcolor(gs4) lwidth(medthick) msize(large)) ci2opts(lcolor(gs8) lwidth(medthick) msize(large))

{text}{p 2 6 2}Variables that uniquely identify margins: client_group2 female{p_end}
{res}{txt}
{com}. graph save g3_11_11, replace
{res}{txt}(file g3_11_11.gph saved)

{com}. 
. 
. **** Het Effects
. reg vote i.female##i.income_pc i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if client_group2==1, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,459
                                                {txt}F(18, 1729)       =  {res}    22.33
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0876
                                                {txt}Root MSE          =    {res} .47893

{txt}{ralign 84:(Std. Err. adjusted for {res:1,730} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}              vote{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}female {c |}
{space 2}Woman Candidate  {c |}{col 20}{res}{space 2} .0421183{col 32}{space 2} .0304958{col 43}{space 1}    1.38{col 52}{space 3}0.167{col 60}{space 4}-.0176942{col 73}{space 3} .1019308
{txt}{space 18} {c |}
{space 9}income_pc {c |}
{space 16}2  {c |}{col 20}{res}{space 2} .0301952{col 32}{space 2} .0258668{col 43}{space 1}    1.17{col 52}{space 3}0.243{col 60}{space 4}-.0205384{col 73}{space 3} .0809287
{txt}{space 16}3  {c |}{col 20}{res}{space 2} .0260667{col 32}{space 2}  .023235{col 43}{space 1}    1.12{col 52}{space 3}0.262{col 60}{space 4} -.019505{col 73}{space 3} .0716384
{txt}{space 16}4  {c |}{col 20}{res}{space 2} .0059306{col 32}{space 2} .0244368{col 43}{space 1}    0.24{col 52}{space 3}0.808{col 60}{space 4}-.0419982{col 73}{space 3} .0538594
{txt}{space 18} {c |}
{space 2}female#income_pc {c |}
Woman Candidate#2  {c |}{col 20}{res}{space 2}-.0783948{col 32}{space 2} .0478324{col 43}{space 1}   -1.64{col 52}{space 3}0.101{col 60}{space 4}-.1722102{col 73}{space 3} .0154207
{txt}Woman Candidate#3  {c |}{col 20}{res}{space 2}-.0647596{col 32}{space 2} .0445899{col 43}{space 1}   -1.45{col 52}{space 3}0.147{col 60}{space 4}-.1522155{col 73}{space 3} .0226962
{txt}Woman Candidate#4  {c |}{col 20}{res}{space 2}-.0310171{col 32}{space 2} .0455028{col 43}{space 1}   -0.68{col 52}{space 3}0.496{col 60}{space 4}-.1202634{col 73}{space 3} .0582292
{txt}{space 18} {c |}
{space 3}1.ben_community {c |}{col 20}{res}{space 2}-.0117216{col 32}{space 2} .0221495{col 43}{space 1}   -0.53{col 52}{space 3}0.597{col 60}{space 4}-.0551642{col 73}{space 3}  .031721
{txt}{space 9}1.ben_biz {c |}{col 20}{res}{space 2}-.0356673{col 32}{space 2}  .022633{col 43}{space 1}   -1.58{col 52}{space 3}0.115{col 60}{space 4}-.0800583{col 73}{space 3} .0087237
{txt}{space 5}1.ben_leaders {c |}{col 20}{res}{space 2} .0074999{col 32}{space 2}  .022577{col 43}{space 1}    0.33{col 52}{space 3}0.740{col 60}{space 4}-.0367813{col 73}{space 3}  .051781
{txt}{space 11}1.age59 {c |}{col 20}{res}{space 2}-.0825759{col 32}{space 2} .0234045{col 43}{space 1}   -3.53{col 52}{space 3}0.000{col 60}{space 4}  -.12848{col 73}{space 3}-.0366718
{txt}{space 11}1.age49 {c |}{col 20}{res}{space 2}-.0001287{col 32}{space 2} .0233321{col 43}{space 1}   -0.01{col 52}{space 3}0.996{col 60}{space 4}-.0458909{col 73}{space 3} .0456334
{txt}{space 11}1.age39 {c |}{col 20}{res}{space 2} .0417848{col 32}{space 2} .0233857{col 43}{space 1}    1.79{col 52}{space 3}0.074{col 60}{space 4}-.0040824{col 73}{space 3}  .087652
{txt}{space 7}1.doctorate {c |}{col 20}{res}{space 2} .2790804{col 32}{space 2} .0226803{col 43}{space 1}   12.30{col 52}{space 3}0.000{col 60}{space 4} .2345967{col 73}{space 3} .3235641
{txt}{space 9}1.masters {c |}{col 20}{res}{space 2} .2383317{col 32}{space 2} .0229832{col 43}{space 1}   10.37{col 52}{space 3}0.000{col 60}{space 4}  .193254{col 73}{space 3} .2834094
{txt}{space 7}1.bachelors {c |}{col 20}{res}{space 2} .1976002{col 32}{space 2} .0231164{col 43}{space 1}    8.55{col 52}{space 3}0.000{col 60}{space 4} .1522611{col 73}{space 3} .2429393
{txt}{space 7}1.non_party {c |}{col 20}{res}{space 2}-.1899156{col 32}{space 2} .0161031{col 43}{space 1}  -11.79{col 52}{space 3}0.000{col 60}{space 4}-.2214992{col 73}{space 3}-.1583319
{txt}{space 10}1.inclan {c |}{col 20}{res}{space 2}-.0157562{col 32}{space 2} .0162852{col 43}{space 1}   -0.97{col 52}{space 3}0.333{col 60}{space 4}-.0476971{col 73}{space 3} .0161846
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4202538{col 32}{space 2} .0299278{col 43}{space 1}   14.04{col 52}{space 3}0.000{col 60}{space 4} .3615553{col 73}{space 3} .4789522
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg vote i.female##i.income_pc i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if client_group2==2, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,428
                                                {txt}F(18, 1713)       =  {res}    18.16
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0777
                                                {txt}Root MSE          =    {res} .48153

{txt}{ralign 84:(Std. Err. adjusted for {res:1,714} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}              vote{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}female {c |}
{space 2}Woman Candidate  {c |}{col 20}{res}{space 2}-.0166846{col 32}{space 2} .0303173{col 43}{space 1}   -0.55{col 52}{space 3}0.582{col 60}{space 4}-.0761475{col 73}{space 3} .0427783
{txt}{space 18} {c |}
{space 9}income_pc {c |}
{space 16}2  {c |}{col 20}{res}{space 2} .0150754{col 32}{space 2} .0255648{col 43}{space 1}    0.59{col 52}{space 3}0.555{col 60}{space 4}-.0350661{col 73}{space 3} .0652169
{txt}{space 16}3  {c |}{col 20}{res}{space 2} .0138352{col 32}{space 2} .0232405{col 43}{space 1}    0.60{col 52}{space 3}0.552{col 60}{space 4}-.0317476{col 73}{space 3}  .059418
{txt}{space 16}4  {c |}{col 20}{res}{space 2}-.0011392{col 32}{space 2} .0239473{col 43}{space 1}   -0.05{col 52}{space 3}0.962{col 60}{space 4}-.0481082{col 73}{space 3} .0458298
{txt}{space 18} {c |}
{space 2}female#income_pc {c |}
Woman Candidate#2  {c |}{col 20}{res}{space 2}-.0459467{col 32}{space 2} .0481017{col 43}{space 1}   -0.96{col 52}{space 3}0.340{col 60}{space 4}-.1402909{col 73}{space 3} .0483975
{txt}Woman Candidate#3  {c |}{col 20}{res}{space 2}-.0464624{col 32}{space 2} .0435342{col 43}{space 1}   -1.07{col 52}{space 3}0.286{col 60}{space 4}-.1318483{col 73}{space 3} .0389234
{txt}Woman Candidate#4  {c |}{col 20}{res}{space 2}-.0108988{col 32}{space 2} .0464353{col 43}{space 1}   -0.23{col 52}{space 3}0.814{col 60}{space 4}-.1019747{col 73}{space 3} .0801772
{txt}{space 18} {c |}
{space 3}1.ben_community {c |}{col 20}{res}{space 2} .0467628{col 32}{space 2} .0230124{col 43}{space 1}    2.03{col 52}{space 3}0.042{col 60}{space 4} .0016273{col 73}{space 3} .0918982
{txt}{space 9}1.ben_biz {c |}{col 20}{res}{space 2}-.0241048{col 32}{space 2} .0223191{col 43}{space 1}   -1.08{col 52}{space 3}0.280{col 60}{space 4}-.0678803{col 73}{space 3} .0196707
{txt}{space 5}1.ben_leaders {c |}{col 20}{res}{space 2} .0172623{col 32}{space 2} .0228849{col 43}{space 1}    0.75{col 52}{space 3}0.451{col 60}{space 4}-.0276229{col 73}{space 3} .0621476
{txt}{space 11}1.age59 {c |}{col 20}{res}{space 2}-.0735944{col 32}{space 2} .0233684{col 43}{space 1}   -3.15{col 52}{space 3}0.002{col 60}{space 4} -.119428{col 73}{space 3}-.0277608
{txt}{space 11}1.age49 {c |}{col 20}{res}{space 2} .0091075{col 32}{space 2}  .023368{col 43}{space 1}    0.39{col 52}{space 3}0.697{col 60}{space 4}-.0367255{col 73}{space 3} .0549404
{txt}{space 11}1.age39 {c |}{col 20}{res}{space 2} .0124061{col 32}{space 2} .0228671{col 43}{space 1}    0.54{col 52}{space 3}0.588{col 60}{space 4}-.0324442{col 73}{space 3} .0572564
{txt}{space 7}1.doctorate {c |}{col 20}{res}{space 2} .2489134{col 32}{space 2} .0228143{col 43}{space 1}   10.91{col 52}{space 3}0.000{col 60}{space 4} .2041666{col 73}{space 3} .2936602
{txt}{space 9}1.masters {c |}{col 20}{res}{space 2} .2033924{col 32}{space 2} .0229682{col 43}{space 1}    8.86{col 52}{space 3}0.000{col 60}{space 4} .1583436{col 73}{space 3} .2484411
{txt}{space 7}1.bachelors {c |}{col 20}{res}{space 2} .1756369{col 32}{space 2} .0238792{col 43}{space 1}    7.36{col 52}{space 3}0.000{col 60}{space 4} .1288015{col 73}{space 3} .2224723
{txt}{space 7}1.non_party {c |}{col 20}{res}{space 2} -.187791{col 32}{space 2}  .016318{col 43}{space 1}  -11.51{col 52}{space 3}0.000{col 60}{space 4}-.2197963{col 73}{space 3}-.1557856
{txt}{space 10}1.inclan {c |}{col 20}{res}{space 2}-.0038537{col 32}{space 2} .0169581{col 43}{space 1}   -0.23{col 52}{space 3}0.820{col 60}{space 4}-.0371145{col 73}{space 3} .0294071
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4600943{col 32}{space 2} .0301591{col 43}{space 1}   15.26{col 52}{space 3}0.000{col 60}{space 4} .4009417{col 73}{space 3} .5192469
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg vote i.female##c.income_pc i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if client_group2==2, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,428
                                                {txt}F(14, 1713)       =  {res}    23.11
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0772
                                                {txt}Root MSE          =    {res} .48136

{txt}{ralign 84:(Std. Err. adjusted for {res:1,714} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}              vote{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}female {c |}
{space 2}Woman Candidate  {c |}{col 20}{res}{space 2}-.0273966{col 32}{space 2} .0391754{col 43}{space 1}   -0.70{col 52}{space 3}0.484{col 60}{space 4}-.1042332{col 73}{space 3}   .04944
{txt}{space 9}income_pc {c |}{col 20}{res}{space 2} .0000406{col 32}{space 2} .0075991{col 43}{space 1}    0.01{col 52}{space 3}0.996{col 60}{space 4} -.014864{col 73}{space 3} .0149451
{txt}{space 18} {c |}
female#c.income_pc {c |}
{space 2}Woman Candidate  {c |}{col 20}{res}{space 2}-.0054937{col 32}{space 2} .0146142{col 43}{space 1}   -0.38{col 52}{space 3}0.707{col 60}{space 4}-.0341572{col 73}{space 3} .0231698
{txt}{space 18} {c |}
{space 3}1.ben_community {c |}{col 20}{res}{space 2}  .046595{col 32}{space 2} .0229951{col 43}{space 1}    2.03{col 52}{space 3}0.043{col 60}{space 4} .0014936{col 73}{space 3} .0916964
{txt}{space 9}1.ben_biz {c |}{col 20}{res}{space 2} -.023958{col 32}{space 2} .0223178{col 43}{space 1}   -1.07{col 52}{space 3}0.283{col 60}{space 4} -.067731{col 73}{space 3}  .019815
{txt}{space 5}1.ben_leaders {c |}{col 20}{res}{space 2} .0172259{col 32}{space 2} .0228672{col 43}{space 1}    0.75{col 52}{space 3}0.451{col 60}{space 4}-.0276246{col 73}{space 3} .0620763
{txt}{space 11}1.age59 {c |}{col 20}{res}{space 2}-.0741589{col 32}{space 2} .0233367{col 43}{space 1}   -3.18{col 52}{space 3}0.002{col 60}{space 4}-.1199304{col 73}{space 3}-.0283874
{txt}{space 11}1.age49 {c |}{col 20}{res}{space 2} .0087434{col 32}{space 2} .0233546{col 43}{space 1}    0.37{col 52}{space 3}0.708{col 60}{space 4}-.0370632{col 73}{space 3}   .05455
{txt}{space 11}1.age39 {c |}{col 20}{res}{space 2} .0129485{col 32}{space 2} .0228346{col 43}{space 1}    0.57{col 52}{space 3}0.571{col 60}{space 4}-.0318381{col 73}{space 3} .0577351
{txt}{space 7}1.doctorate {c |}{col 20}{res}{space 2} .2489052{col 32}{space 2} .0228071{col 43}{space 1}   10.91{col 52}{space 3}0.000{col 60}{space 4} .2041725{col 73}{space 3}  .293638
{txt}{space 9}1.masters {c |}{col 20}{res}{space 2} .2036561{col 32}{space 2} .0229635{col 43}{space 1}    8.87{col 52}{space 3}0.000{col 60}{space 4} .1586166{col 73}{space 3} .2486955
{txt}{space 7}1.bachelors {c |}{col 20}{res}{space 2} .1752676{col 32}{space 2} .0238694{col 43}{space 1}    7.34{col 52}{space 3}0.000{col 60}{space 4} .1284513{col 73}{space 3} .2220838
{txt}{space 7}1.non_party {c |}{col 20}{res}{space 2}-.1873223{col 32}{space 2} .0163028{col 43}{space 1}  -11.49{col 52}{space 3}0.000{col 60}{space 4}-.2192977{col 73}{space 3}-.1553469
{txt}{space 10}1.inclan {c |}{col 20}{res}{space 2}-.0036384{col 32}{space 2} .0169514{col 43}{space 1}   -0.21{col 52}{space 3}0.830{col 60}{space 4}-.0368859{col 73}{space 3} .0296092
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4661816{col 32}{space 2} .0331673{col 43}{space 1}   14.06{col 52}{space 3}0.000{col 60}{space 4}  .401129{col 73}{space 3} .5312343
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg vote i.female##c.income_pc i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if client_group2==1, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,459
                                                {txt}F(14, 1729)       =  {res}    28.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0867
                                                {txt}Root MSE          =    {res} .47887

{txt}{ralign 84:(Std. Err. adjusted for {res:1,730} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}              vote{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}female {c |}
{space 2}Woman Candidate  {c |}{col 20}{res}{space 2} .0261378{col 32}{space 2} .0389813{col 43}{space 1}    0.67{col 52}{space 3}0.503{col 60}{space 4}-.0503177{col 73}{space 3} .1025933
{txt}{space 9}income_pc {c |}{col 20}{res}{space 2} .0025147{col 32}{space 2} .0077196{col 43}{space 1}    0.33{col 52}{space 3}0.745{col 60}{space 4}-.0126261{col 73}{space 3} .0176554
{txt}{space 18} {c |}
female#c.income_pc {c |}
{space 2}Woman Candidate  {c |}{col 20}{res}{space 2}-.0100677{col 32}{space 2}  .014411{col 43}{space 1}   -0.70{col 52}{space 3}0.485{col 60}{space 4}-.0383326{col 73}{space 3} .0181972
{txt}{space 18} {c |}
{space 3}1.ben_community {c |}{col 20}{res}{space 2}  -.01085{col 32}{space 2} .0221675{col 43}{space 1}   -0.49{col 52}{space 3}0.625{col 60}{space 4} -.054328{col 73}{space 3}  .032628
{txt}{space 9}1.ben_biz {c |}{col 20}{res}{space 2}-.0347651{col 32}{space 2} .0225801{col 43}{space 1}   -1.54{col 52}{space 3}0.124{col 60}{space 4}-.0790523{col 73}{space 3} .0095221
{txt}{space 5}1.ben_leaders {c |}{col 20}{res}{space 2} .0079777{col 32}{space 2} .0225857{col 43}{space 1}    0.35{col 52}{space 3}0.724{col 60}{space 4}-.0363205{col 73}{space 3} .0522759
{txt}{space 11}1.age59 {c |}{col 20}{res}{space 2}-.0823509{col 32}{space 2} .0233906{col 43}{space 1}   -3.52{col 52}{space 3}0.000{col 60}{space 4}-.1282277{col 73}{space 3}-.0364742
{txt}{space 11}1.age49 {c |}{col 20}{res}{space 2}  .000425{col 32}{space 2} .0232992{col 43}{space 1}    0.02{col 52}{space 3}0.985{col 60}{space 4}-.0452725{col 73}{space 3} .0461225
{txt}{space 11}1.age39 {c |}{col 20}{res}{space 2} .0420948{col 32}{space 2} .0233649{col 43}{space 1}    1.80{col 52}{space 3}0.072{col 60}{space 4}-.0037317{col 73}{space 3} .0879212
{txt}{space 7}1.doctorate {c |}{col 20}{res}{space 2}  .280659{col 32}{space 2} .0226007{col 43}{space 1}   12.42{col 52}{space 3}0.000{col 60}{space 4} .2363314{col 73}{space 3} .3249866
{txt}{space 9}1.masters {c |}{col 20}{res}{space 2} .2403731{col 32}{space 2} .0228679{col 43}{space 1}   10.51{col 52}{space 3}0.000{col 60}{space 4} .1955215{col 73}{space 3} .2852247
{txt}{space 7}1.bachelors {c |}{col 20}{res}{space 2} .1990847{col 32}{space 2} .0230429{col 43}{space 1}    8.64{col 52}{space 3}0.000{col 60}{space 4} .1538898{col 73}{space 3} .2442796
{txt}{space 7}1.non_party {c |}{col 20}{res}{space 2}-.1897836{col 32}{space 2} .0160985{col 43}{space 1}  -11.79{col 52}{space 3}0.000{col 60}{space 4}-.2213582{col 73}{space 3} -.158209
{txt}{space 10}1.inclan {c |}{col 20}{res}{space 2}-.0155435{col 32}{space 2} .0162836{col 43}{space 1}   -0.95{col 52}{space 3}0.340{col 60}{space 4}-.0474813{col 73}{space 3} .0163942
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4263188{col 32}{space 2} .0330075{col 43}{space 1}   12.92{col 52}{space 3}0.000{col 60}{space 4} .3615801{col 73}{space 3} .4910576
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg vote i.female##i.education_pc i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if client_group2==1, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,923
                                                {txt}F(18, 1961)       =  {res}    23.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0821
                                                {txt}Root MSE          =    {res}  .4802

{txt}{ralign 85:(Std. Err. adjusted for {res:1,962} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}               vote{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}female {c |}
{space 3}Woman Candidate  {c |}{col 21}{res}{space 2}-.0006391{col 33}{space 2} .0306686{col 44}{space 1}   -0.02{col 53}{space 3}0.983{col 61}{space 4}-.0607856{col 74}{space 3} .0595073
{txt}{space 19} {c |}
{space 7}education_pc {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .0161059{col 33}{space 2}  .023213{col 44}{space 1}    0.69{col 53}{space 3}0.488{col 61}{space 4}-.0294189{col 74}{space 3} .0616307
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0015646{col 33}{space 2} .0215132{col 44}{space 1}   -0.07{col 53}{space 3}0.942{col 61}{space 4}-.0437557{col 74}{space 3} .0406265
{txt}{space 17}4  {c |}{col 21}{res}{space 2}-.0124873{col 33}{space 2} .0262488{col 44}{space 1}   -0.48{col 53}{space 3}0.634{col 61}{space 4}-.0639657{col 74}{space 3} .0389911
{txt}{space 19} {c |}
female#education_pc {c |}
{space 1}Woman Candidate#2  {c |}{col 21}{res}{space 2}-.0214131{col 33}{space 2} .0436958{col 44}{space 1}   -0.49{col 53}{space 3}0.624{col 61}{space 4}-.1071081{col 74}{space 3} .0642819
{txt}{space 1}Woman Candidate#3  {c |}{col 21}{res}{space 2}-.0083466{col 33}{space 2}  .040856{col 44}{space 1}   -0.20{col 53}{space 3}0.838{col 61}{space 4}-.0884723{col 74}{space 3} .0717792
{txt}{space 1}Woman Candidate#4  {c |}{col 21}{res}{space 2} .0213029{col 33}{space 2} .0492125{col 44}{space 1}    0.43{col 53}{space 3}0.665{col 61}{space 4}-.0752113{col 74}{space 3} .1178171
{txt}{space 19} {c |}
{space 4}1.ben_community {c |}{col 21}{res}{space 2}-.0118637{col 33}{space 2} .0206982{col 44}{space 1}   -0.57{col 53}{space 3}0.567{col 61}{space 4}-.0524565{col 74}{space 3} .0287292
{txt}{space 10}1.ben_biz {c |}{col 21}{res}{space 2}-.0322483{col 33}{space 2} .0214407{col 44}{space 1}   -1.50{col 53}{space 3}0.133{col 61}{space 4}-.0742972{col 74}{space 3} .0098006
{txt}{space 6}1.ben_leaders {c |}{col 21}{res}{space 2} .0091053{col 33}{space 2} .0213174{col 44}{space 1}    0.43{col 53}{space 3}0.669{col 61}{space 4}-.0327018{col 74}{space 3} .0509125
{txt}{space 12}1.age59 {c |}{col 21}{res}{space 2}-.0789635{col 33}{space 2} .0218936{col 44}{space 1}   -3.61{col 53}{space 3}0.000{col 61}{space 4}-.1219006{col 74}{space 3}-.0360264
{txt}{space 12}1.age49 {c |}{col 21}{res}{space 2}-.0072506{col 33}{space 2} .0218963{col 44}{space 1}   -0.33{col 53}{space 3}0.741{col 61}{space 4} -.050193{col 74}{space 3} .0356918
{txt}{space 12}1.age39 {c |}{col 21}{res}{space 2} .0322879{col 33}{space 2} .0219974{col 44}{space 1}    1.47{col 53}{space 3}0.142{col 61}{space 4}-.0108528{col 74}{space 3} .0754287
{txt}{space 8}1.doctorate {c |}{col 21}{res}{space 2} .2686451{col 33}{space 2} .0210971{col 44}{space 1}   12.73{col 53}{space 3}0.000{col 61}{space 4}   .22727{col 74}{space 3} .3100203
{txt}{space 10}1.masters {c |}{col 21}{res}{space 2} .2259654{col 33}{space 2} .0216366{col 44}{space 1}   10.44{col 53}{space 3}0.000{col 61}{space 4} .1835322{col 74}{space 3} .2683986
{txt}{space 8}1.bachelors {c |}{col 21}{res}{space 2} .1904293{col 33}{space 2} .0216373{col 44}{space 1}    8.80{col 53}{space 3}0.000{col 61}{space 4} .1479948{col 74}{space 3} .2328638
{txt}{space 8}1.non_party {c |}{col 21}{res}{space 2}-.1907028{col 33}{space 2} .0152487{col 44}{space 1}  -12.51{col 53}{space 3}0.000{col 61}{space 4}-.2206081{col 74}{space 3}-.1607975
{txt}{space 11}1.inclan {c |}{col 21}{res}{space 2}-.0159649{col 33}{space 2} .0154056{col 44}{space 1}   -1.04{col 53}{space 3}0.300{col 61}{space 4} -.046178{col 74}{space 3} .0142482
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  .448855{col 33}{space 2} .0288103{col 44}{space 1}   15.58{col 53}{space 3}0.000{col 61}{space 4}  .392353{col 74}{space 3}  .505357
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg vote i.female##i.education_pc i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan  if client_group2==2, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,868
                                                {txt}F(18, 1933)       =  {res}    20.28
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0772
                                                {txt}Root MSE          =    {res} .48151

{txt}{ralign 85:(Std. Err. adjusted for {res:1,934} clusters in id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}               vote{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}female {c |}
{space 3}Woman Candidate  {c |}{col 21}{res}{space 2}-.0410024{col 33}{space 2} .0300116{col 44}{space 1}   -1.37{col 53}{space 3}0.172{col 61}{space 4} -.099861{col 74}{space 3} .0178562
{txt}{space 19} {c |}
{space 7}education_pc {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .0236684{col 33}{space 2}  .022601{col 44}{space 1}    1.05{col 53}{space 3}0.295{col 61}{space 4}-.0206565{col 74}{space 3} .0679933
{txt}{space 17}3  {c |}{col 21}{res}{space 2}-.0175086{col 33}{space 2} .0214991{col 44}{space 1}   -0.81{col 53}{space 3}0.416{col 61}{space 4}-.0596725{col 74}{space 3} .0246552
{txt}{space 17}4  {c |}{col 21}{res}{space 2} -.022063{col 33}{space 2} .0245323{col 44}{space 1}   -0.90{col 53}{space 3}0.369{col 61}{space 4}-.0701754{col 74}{space 3} .0260495
{txt}{space 19} {c |}
female#education_pc {c |}
{space 1}Woman Candidate#2  {c |}{col 21}{res}{space 2}-.0383792{col 33}{space 2} .0448004{col 44}{space 1}   -0.86{col 53}{space 3}0.392{col 61}{space 4}-.1262413{col 74}{space 3}  .049483
{txt}{space 1}Woman Candidate#3  {c |}{col 21}{res}{space 2}  .031512{col 33}{space 2} .0405807{col 44}{space 1}    0.78{col 53}{space 3}0.438{col 61}{space 4}-.0480746{col 74}{space 3} .1110987
{txt}{space 1}Woman Candidate#4  {c |}{col 21}{res}{space 2} .0393929{col 33}{space 2} .0470595{col 44}{space 1}    0.84{col 53}{space 3}0.403{col 61}{space 4}-.0528998{col 74}{space 3} .1316857
{txt}{space 19} {c |}
{space 4}1.ben_community {c |}{col 21}{res}{space 2} .0481604{col 33}{space 2} .0214633{col 44}{space 1}    2.24{col 53}{space 3}0.025{col 61}{space 4} .0060667{col 74}{space 3} .0902541
{txt}{space 10}1.ben_biz {c |}{col 21}{res}{space 2}-.0333412{col 33}{space 2} .0209811{col 44}{space 1}   -1.59{col 53}{space 3}0.112{col 61}{space 4}-.0744892{col 74}{space 3} .0078067
{txt}{space 6}1.ben_leaders {c |}{col 21}{res}{space 2} .0106667{col 33}{space 2} .0216562{col 44}{space 1}    0.49{col 53}{space 3}0.622{col 61}{space 4}-.0318052{col 74}{space 3} .0531386
{txt}{space 12}1.age59 {c |}{col 21}{res}{space 2}-.0674071{col 33}{space 2} .0219798{col 44}{space 1}   -3.07{col 53}{space 3}0.002{col 61}{space 4}-.1105138{col 74}{space 3}-.0243005
{txt}{space 12}1.age49 {c |}{col 21}{res}{space 2} .0042504{col 33}{space 2} .0220411{col 44}{space 1}    0.19{col 53}{space 3}0.847{col 61}{space 4}-.0389764{col 74}{space 3} .0474772
{txt}{space 12}1.age39 {c |}{col 21}{res}{space 2} .0158585{col 33}{space 2} .0216189{col 44}{space 1}    0.73{col 53}{space 3}0.463{col 61}{space 4}-.0265404{col 74}{space 3} .0582574
{txt}{space 8}1.doctorate {c |}{col 21}{res}{space 2} .2490092{col 33}{space 2} .0213982{col 44}{space 1}   11.64{col 53}{space 3}0.000{col 61}{space 4} .2070432{col 74}{space 3} .2909752
{txt}{space 10}1.masters {c |}{col 21}{res}{space 2}  .210442{col 33}{space 2} .0213083{col 44}{space 1}    9.88{col 53}{space 3}0.000{col 61}{space 4} .1686524{col 74}{space 3} .2522316
{txt}{space 8}1.bachelors {c |}{col 21}{res}{space 2} .1699465{col 33}{space 2}  .022322{col 44}{space 1}    7.61{col 53}{space 3}0.000{col 61}{space 4} .1261688{col 74}{space 3} .2137242
{txt}{space 8}1.non_party {c |}{col 21}{res}{space 2}-.1838119{col 33}{space 2} .0153358{col 44}{space 1}  -11.99{col 53}{space 3}0.000{col 61}{space 4}-.2138884{col 74}{space 3}-.1537353
{txt}{space 11}1.inclan {c |}{col 21}{res}{space 2} .0064371{col 33}{space 2} .0159407{col 44}{space 1}    0.40{col 53}{space 3}0.686{col 61}{space 4}-.0248257{col 74}{space 3} .0376998
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .4611841{col 33}{space 2} .0286529{col 44}{space 1}   16.10{col 53}{space 3}0.000{col 61}{space 4} .4049903{col 74}{space 3} .5173779
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg vote i.female##c.education_pc i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if  client_group==2, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,986
                                                {txt}F(14, 1992)       =  {res}    40.39
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1036
                                                {txt}Root MSE          =    {res} .47429

{txt}{ralign 87:(Std. Err. adjusted for {res:1,993} clusters in id)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}                 vote{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}female {c |}
{space 5}Woman Candidate  {c |}{col 23}{res}{space 2} .0530117{col 35}{space 2} .0387049{col 46}{space 1}    1.37{col 55}{space 3}0.171{col 63}{space 4}-.0228947{col 76}{space 3}  .128918
{txt}{space 9}education_pc {c |}{col 23}{res}{space 2} .0097614{col 35}{space 2} .0074853{col 46}{space 1}    1.30{col 55}{space 3}0.192{col 63}{space 4}-.0049184{col 76}{space 3} .0244412
{txt}{space 21} {c |}
female#c.education_pc {c |}
{space 5}Woman Candidate  {c |}{col 23}{res}{space 2}-.0226365{col 35}{space 2} .0142503{col 46}{space 1}   -1.59{col 55}{space 3}0.112{col 63}{space 4}-.0505836{col 76}{space 3} .0053106
{txt}{space 21} {c |}
{space 6}1.ben_community {c |}{col 23}{res}{space 2}-.0085988{col 35}{space 2} .0204493{col 46}{space 1}   -0.42{col 55}{space 3}0.674{col 63}{space 4} -.048703{col 76}{space 3} .0315055
{txt}{space 12}1.ben_biz {c |}{col 23}{res}{space 2}-.0558927{col 35}{space 2} .0213951{col 46}{space 1}   -2.61{col 55}{space 3}0.009{col 63}{space 4}-.0978517{col 76}{space 3}-.0139336
{txt}{space 8}1.ben_leaders {c |}{col 23}{res}{space 2}-.0444091{col 35}{space 2}  .020544{col 46}{space 1}   -2.16{col 55}{space 3}0.031{col 63}{space 4}-.0846991{col 76}{space 3}-.0041191
{txt}{space 14}1.age59 {c |}{col 23}{res}{space 2}-.0463345{col 35}{space 2} .0219468{col 46}{space 1}   -2.11{col 55}{space 3}0.035{col 63}{space 4}-.0893756{col 76}{space 3}-.0032933
{txt}{space 14}1.age49 {c |}{col 23}{res}{space 2}-.0016052{col 35}{space 2} .0215012{col 46}{space 1}   -0.07{col 55}{space 3}0.940{col 63}{space 4}-.0437723{col 76}{space 3}  .040562
{txt}{space 14}1.age39 {c |}{col 23}{res}{space 2} .0550164{col 35}{space 2} .0210473{col 46}{space 1}    2.61{col 55}{space 3}0.009{col 63}{space 4} .0137394{col 76}{space 3} .0962934
{txt}{space 10}1.doctorate {c |}{col 23}{res}{space 2} .2861292{col 35}{space 2} .0206358{col 46}{space 1}   13.87{col 55}{space 3}0.000{col 63}{space 4} .2456592{col 76}{space 3} .3265993
{txt}{space 12}1.masters {c |}{col 23}{res}{space 2} .2454324{col 35}{space 2} .0209705{col 46}{space 1}   11.70{col 55}{space 3}0.000{col 63}{space 4}  .204306{col 76}{space 3} .2865588
{txt}{space 10}1.bachelors {c |}{col 23}{res}{space 2} .1710965{col 35}{space 2} .0210698{col 46}{space 1}    8.12{col 55}{space 3}0.000{col 63}{space 4} .1297752{col 76}{space 3} .2124177
{txt}{space 10}1.non_party {c |}{col 23}{res}{space 2}-.2162103{col 35}{space 2}  .014763{col 46}{space 1}  -14.65{col 55}{space 3}0.000{col 63}{space 4}-.2451629{col 76}{space 3}-.1872577
{txt}{space 13}1.inclan {c |}{col 23}{res}{space 2} .0321839{col 35}{space 2} .0154149{col 46}{space 1}    2.09{col 55}{space 3}0.037{col 63}{space 4} .0019529{col 76}{space 3} .0624148
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .4131159{col 35}{space 2} .0313306{col 46}{space 1}   13.19{col 55}{space 3}0.000{col 63}{space 4} .3516717{col 76}{space 3} .4745602
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg vote i.female##c.education_pc i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if client_group==1, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,923
                                                {txt}F(14, 1961)       =  {res}    29.75
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0819
                                                {txt}Root MSE          =    {res} .48001

{txt}{ralign 87:(Std. Err. adjusted for {res:1,962} clusters in id)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}                 vote{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}female {c |}
{space 5}Woman Candidate  {c |}{col 23}{res}{space 2}-.0180188{col 35}{space 2} .0391383{col 46}{space 1}   -0.46{col 55}{space 3}0.645{col 63}{space 4}-.0947759{col 76}{space 3} .0587383
{txt}{space 9}education_pc {c |}{col 23}{res}{space 2}-.0046491{col 35}{space 2} .0079373{col 46}{space 1}   -0.59{col 55}{space 3}0.558{col 63}{space 4}-.0202155{col 76}{space 3} .0109172
{txt}{space 21} {c |}
female#c.education_pc {c |}
{space 5}Woman Candidate  {c |}{col 23}{res}{space 2} .0054777{col 35}{space 2} .0149538{col 46}{space 1}    0.37{col 55}{space 3}0.714{col 63}{space 4}-.0238493{col 76}{space 3} .0348048
{txt}{space 21} {c |}
{space 6}1.ben_community {c |}{col 23}{res}{space 2}-.0121523{col 35}{space 2} .0206798{col 46}{space 1}   -0.59{col 55}{space 3}0.557{col 63}{space 4}-.0527091{col 76}{space 3} .0284044
{txt}{space 12}1.ben_biz {c |}{col 23}{res}{space 2}-.0321496{col 35}{space 2} .0214236{col 46}{space 1}   -1.50{col 55}{space 3}0.134{col 63}{space 4} -.074165{col 76}{space 3} .0098658
{txt}{space 8}1.ben_leaders {c |}{col 23}{res}{space 2} .0091999{col 35}{space 2}  .021294{col 46}{space 1}    0.43{col 55}{space 3}0.666{col 63}{space 4}-.0325613{col 76}{space 3} .0509612
{txt}{space 14}1.age59 {c |}{col 23}{res}{space 2}-.0790358{col 35}{space 2}  .021845{col 46}{space 1}   -3.62{col 55}{space 3}0.000{col 63}{space 4}-.1218777{col 76}{space 3} -.036194
{txt}{space 14}1.age49 {c |}{col 23}{res}{space 2}-.0071617{col 35}{space 2} .0218457{col 46}{space 1}   -0.33{col 55}{space 3}0.743{col 63}{space 4}-.0500048{col 76}{space 3} .0356815
{txt}{space 14}1.age39 {c |}{col 23}{res}{space 2} .0323565{col 35}{space 2} .0219708{col 46}{space 1}    1.47{col 55}{space 3}0.141{col 63}{space 4}-.0107321{col 76}{space 3} .0754452
{txt}{space 10}1.doctorate {c |}{col 23}{res}{space 2}  .268641{col 35}{space 2}  .021074{col 46}{space 1}   12.75{col 55}{space 3}0.000{col 63}{space 4} .2273113{col 76}{space 3} .3099708
{txt}{space 12}1.masters {c |}{col 23}{res}{space 2} .2259818{col 35}{space 2} .0216188{col 46}{space 1}   10.45{col 55}{space 3}0.000{col 63}{space 4} .1835836{col 76}{space 3}   .26838
{txt}{space 10}1.bachelors {c |}{col 23}{res}{space 2} .1900423{col 35}{space 2} .0216217{col 46}{space 1}    8.79{col 55}{space 3}0.000{col 63}{space 4} .1476383{col 76}{space 3} .2324463
{txt}{space 10}1.non_party {c |}{col 23}{res}{space 2}-.1904631{col 35}{space 2} .0152311{col 46}{space 1}  -12.50{col 55}{space 3}0.000{col 63}{space 4}-.2203339{col 76}{space 3}-.1605924
{txt}{space 13}1.inclan {c |}{col 23}{res}{space 2}-.0157658{col 35}{space 2} .0153733{col 46}{space 1}   -1.03{col 55}{space 3}0.305{col 63}{space 4}-.0459156{col 76}{space 3}  .014384
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}  .461079{col 35}{space 2} .0320048{col 46}{space 1}   14.41{col 55}{space 3}0.000{col 63}{space 4}  .398312{col 76}{space 3}  .523846
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. reg vote i.female##i.khuvuc i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if client_group==3, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,872
                                                {txt}F(14, 1935)       =  {res}    25.99
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0763
                                                {txt}Root MSE          =    {res} .48148

{txt}{ralign 93:(Std. Err. adjusted for {res:1,936} clusters in id)}
{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                       vote{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}female {c |}
{space 11}Woman Candidate  {c |}{col 29}{res}{space 2}-.0255978{col 41}{space 2} .0189505{col 52}{space 1}   -1.35{col 61}{space 3}0.177{col 69}{space 4}-.0627633{col 82}{space 3} .0115677
{txt}{space 27} {c |}
{space 21}khuvuc {c |}
Rural (villages, mountai..  {c |}{col 29}{res}{space 2} .0128843{col 41}{space 2}  .017508{col 52}{space 1}    0.74{col 61}{space 3}0.462{col 69}{space 4}-.0214521{col 82}{space 3} .0472207
{txt}{space 27} {c |}
{space 14}female#khuvuc {c |}
{space 11}Woman Candidate #{c |}
Rural (villages, mountai..  {c |}{col 29}{res}{space 2}-.0221937{col 41}{space 2} .0334193{col 52}{space 1}   -0.66{col 61}{space 3}0.507{col 69}{space 4}-.0877354{col 82}{space 3} .0433479
{txt}{space 27} {c |}
{space 12}1.ben_community {c |}{col 29}{res}{space 2} .0483017{col 41}{space 2}  .021463{col 52}{space 1}    2.25{col 61}{space 3}0.025{col 69}{space 4} .0062086{col 82}{space 3} .0903947
{txt}{space 18}1.ben_biz {c |}{col 29}{res}{space 2}-.0327067{col 41}{space 2} .0209711{col 52}{space 1}   -1.56{col 61}{space 3}0.119{col 69}{space 4}-.0738351{col 82}{space 3} .0084218
{txt}{space 14}1.ben_leaders {c |}{col 29}{res}{space 2} .0113073{col 41}{space 2} .0216282{col 52}{space 1}    0.52{col 61}{space 3}0.601{col 69}{space 4}-.0311098{col 82}{space 3} .0537244
{txt}{space 20}1.age59 {c |}{col 29}{res}{space 2}-.0685263{col 41}{space 2} .0219315{col 52}{space 1}   -3.12{col 61}{space 3}0.002{col 69}{space 4}-.1115383{col 82}{space 3}-.0255144
{txt}{space 20}1.age49 {c |}{col 29}{res}{space 2} .0043244{col 41}{space 2} .0220385{col 52}{space 1}    0.20{col 61}{space 3}0.844{col 69}{space 4}-.0388972{col 82}{space 3}  .047546
{txt}{space 20}1.age39 {c |}{col 29}{res}{space 2}  .015504{col 41}{space 2} .0215856{col 52}{space 1}    0.72{col 61}{space 3}0.473{col 69}{space 4}-.0268295{col 82}{space 3} .0578374
{txt}{space 16}1.doctorate {c |}{col 29}{res}{space 2} .2473315{col 41}{space 2} .0213887{col 52}{space 1}   11.56{col 61}{space 3}0.000{col 69}{space 4} .2053842{col 82}{space 3} .2892788
{txt}{space 18}1.masters {c |}{col 29}{res}{space 2} .2085445{col 41}{space 2} .0213105{col 52}{space 1}    9.79{col 61}{space 3}0.000{col 69}{space 4} .1667504{col 82}{space 3} .2503385
{txt}{space 16}1.bachelors {c |}{col 29}{res}{space 2}  .169546{col 41}{space 2} .0223349{col 52}{space 1}    7.59{col 61}{space 3}0.000{col 69}{space 4} .1257429{col 82}{space 3}  .213349
{txt}{space 16}1.non_party {c |}{col 29}{res}{space 2}-.1843479{col 41}{space 2} .0153382{col 52}{space 1}  -12.02{col 61}{space 3}0.000{col 69}{space 4} -.214429{col 82}{space 3}-.1542668
{txt}{space 19}1.inclan {c |}{col 29}{res}{space 2} .0045433{col 41}{space 2} .0159147{col 52}{space 1}    0.29{col 61}{space 3}0.775{col 69}{space 4}-.0266685{col 82}{space 3} .0357551
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .4557005{col 41}{space 2} .0257029{col 52}{space 1}   17.73{col 61}{space 3}0.000{col 69}{space 4} .4052922{col 82}{space 3} .5061088
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg vote i.female##i.khuvuc i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if  client_group==1, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,923
                                                {txt}F(14, 1961)       =  {res}    29.71
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0819
                                                {txt}Root MSE          =    {res} .48001

{txt}{ralign 93:(Std. Err. adjusted for {res:1,962} clusters in id)}
{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                       vote{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}female {c |}
{space 11}Woman Candidate  {c |}{col 29}{res}{space 2}-.0097976{col 41}{space 2} .0191397{col 52}{space 1}   -0.51{col 61}{space 3}0.609{col 69}{space 4}-.0473338{col 82}{space 3} .0277386
{txt}{space 27} {c |}
{space 21}khuvuc {c |}
Rural (villages, mountai..  {c |}{col 29}{res}{space 2} -.004607{col 41}{space 2} .0174225{col 52}{space 1}   -0.26{col 61}{space 3}0.791{col 69}{space 4}-.0387756{col 82}{space 3} .0295615
{txt}{space 27} {c |}
{space 14}female#khuvuc {c |}
{space 11}Woman Candidate #{c |}
Rural (villages, mountai..  {c |}{col 29}{res}{space 2}  .014586{col 41}{space 2} .0328171{col 52}{space 1}    0.44{col 61}{space 3}0.657{col 69}{space 4}-.0497741{col 82}{space 3} .0789461
{txt}{space 27} {c |}
{space 12}1.ben_community {c |}{col 29}{res}{space 2}-.0122564{col 41}{space 2} .0206923{col 52}{space 1}   -0.59{col 61}{space 3}0.554{col 69}{space 4}-.0528377{col 82}{space 3} .0283248
{txt}{space 18}1.ben_biz {c |}{col 29}{res}{space 2}-.0324344{col 41}{space 2} .0214188{col 52}{space 1}   -1.51{col 61}{space 3}0.130{col 69}{space 4}-.0744403{col 82}{space 3} .0095716
{txt}{space 14}1.ben_leaders {c |}{col 29}{res}{space 2} .0090586{col 41}{space 2} .0212946{col 52}{space 1}    0.43{col 61}{space 3}0.671{col 69}{space 4}-.0327039{col 82}{space 3}  .050821
{txt}{space 20}1.age59 {c |}{col 29}{res}{space 2}-.0786009{col 41}{space 2} .0218193{col 52}{space 1}   -3.60{col 61}{space 3}0.000{col 69}{space 4}-.1213924{col 82}{space 3}-.0358094
{txt}{space 20}1.age49 {c |}{col 29}{res}{space 2}-.0070282{col 41}{space 2} .0218375{col 52}{space 1}   -0.32{col 61}{space 3}0.748{col 69}{space 4}-.0498553{col 82}{space 3} .0357989
{txt}{space 20}1.age39 {c |}{col 29}{res}{space 2} .0329101{col 41}{space 2} .0219271{col 52}{space 1}    1.50{col 61}{space 3}0.134{col 69}{space 4}-.0100928{col 82}{space 3} .0759131
{txt}{space 16}1.doctorate {c |}{col 29}{res}{space 2} .2688304{col 41}{space 2} .0210705{col 52}{space 1}   12.76{col 61}{space 3}0.000{col 69}{space 4} .2275075{col 82}{space 3} .3101533
{txt}{space 18}1.masters {c |}{col 29}{res}{space 2} .2257099{col 41}{space 2} .0216114{col 52}{space 1}   10.44{col 61}{space 3}0.000{col 69}{space 4} .1833262{col 82}{space 3} .2680936
{txt}{space 16}1.bachelors {c |}{col 29}{res}{space 2} .1900679{col 41}{space 2} .0216284{col 52}{space 1}    8.79{col 61}{space 3}0.000{col 69}{space 4} .1476509{col 82}{space 3} .2324849
{txt}{space 16}1.non_party {c |}{col 29}{res}{space 2}-.1906334{col 41}{space 2} .0152262{col 52}{space 1}  -12.52{col 61}{space 3}0.000{col 69}{space 4}-.2204948{col 82}{space 3}-.1607721
{txt}{space 19}1.inclan {c |}{col 29}{res}{space 2} -.016006{col 41}{space 2} .0153905{col 52}{space 1}   -1.04{col 61}{space 3}0.298{col 69}{space 4}-.0461895{col 82}{space 3} .0141774
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .4515531{col 41}{space 2} .0258847{col 52}{space 1}   17.44{col 61}{space 3}0.000{col 69}{space 4} .4007887{col 82}{space 3} .5023176
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg vote i.female##i.kinh i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if  client_group==3, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,872
                                                {txt}F(14, 1935)       =  {res}    25.92
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0764
                                                {txt}Root MSE          =    {res} .48145

{txt}{ralign 84:(Std. Err. adjusted for {res:1,936} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}              vote{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}female {c |}
{space 2}Woman Candidate  {c |}{col 20}{res}{space 2} .0042641{col 32}{space 2} .0416624{col 43}{space 1}    0.10{col 52}{space 3}0.918{col 60}{space 4}-.0774439{col 73}{space 3}  .085972
{txt}{space 12}1.kinh {c |}{col 20}{res}{space 2} .0223593{col 32}{space 2} .0235388{col 43}{space 1}    0.95{col 52}{space 3}0.342{col 60}{space 4}-.0238047{col 73}{space 3} .0685233
{txt}{space 18} {c |}
{space 7}female#kinh {c |}
Woman Candidate#1  {c |}{col 20}{res}{space 2}-.0433697{col 32}{space 2} .0449288{col 43}{space 1}   -0.97{col 52}{space 3}0.335{col 60}{space 4}-.1314837{col 73}{space 3} .0447442
{txt}{space 18} {c |}
{space 3}1.ben_community {c |}{col 20}{res}{space 2} .0484095{col 32}{space 2} .0214832{col 43}{space 1}    2.25{col 52}{space 3}0.024{col 60}{space 4} .0062769{col 73}{space 3} .0905421
{txt}{space 9}1.ben_biz {c |}{col 20}{res}{space 2}-.0326879{col 32}{space 2} .0209677{col 43}{space 1}   -1.56{col 52}{space 3}0.119{col 60}{space 4}-.0738095{col 73}{space 3} .0084338
{txt}{space 5}1.ben_leaders {c |}{col 20}{res}{space 2} .0115832{col 32}{space 2} .0216197{col 43}{space 1}    0.54{col 52}{space 3}0.592{col 60}{space 4}-.0308172{col 73}{space 3} .0539836
{txt}{space 11}1.age59 {c |}{col 20}{res}{space 2}-.0682021{col 32}{space 2} .0219161{col 43}{space 1}   -3.11{col 52}{space 3}0.002{col 60}{space 4}-.1111838{col 73}{space 3}-.0252205
{txt}{space 11}1.age49 {c |}{col 20}{res}{space 2} .0043062{col 32}{space 2} .0220316{col 43}{space 1}    0.20{col 52}{space 3}0.845{col 60}{space 4}-.0389019{col 73}{space 3} .0475144
{txt}{space 11}1.age39 {c |}{col 20}{res}{space 2} .0157053{col 32}{space 2} .0215656{col 43}{space 1}    0.73{col 52}{space 3}0.467{col 60}{space 4} -.026589{col 73}{space 3} .0579995
{txt}{space 7}1.doctorate {c |}{col 20}{res}{space 2} .2483417{col 32}{space 2} .0213895{col 43}{space 1}   11.61{col 52}{space 3}0.000{col 60}{space 4} .2063927{col 73}{space 3} .2902906
{txt}{space 9}1.masters {c |}{col 20}{res}{space 2} .2094116{col 32}{space 2}  .021293{col 43}{space 1}    9.83{col 52}{space 3}0.000{col 60}{space 4}  .167652{col 73}{space 3} .2511712
{txt}{space 7}1.bachelors {c |}{col 20}{res}{space 2} .1707552{col 32}{space 2} .0223381{col 43}{space 1}    7.64{col 52}{space 3}0.000{col 60}{space 4} .1269461{col 73}{space 3} .2145644
{txt}{space 7}1.non_party {c |}{col 20}{res}{space 2}-.1849986{col 32}{space 2} .0153389{col 43}{space 1}  -12.06{col 52}{space 3}0.000{col 60}{space 4}-.2150812{col 73}{space 3} -.154916
{txt}{space 10}1.inclan {c |}{col 20}{res}{space 2} .0036484{col 32}{space 2} .0159472{col 43}{space 1}    0.23{col 52}{space 3}0.819{col 60}{space 4} -.027627{col 73}{space 3} .0349238
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4405705{col 32}{space 2} .0319483{col 43}{space 1}   13.79{col 52}{space 3}0.000{col 60}{space 4} .3779138{col 73}{space 3} .5032271
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg vote i.female##i.kinh i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if  client_group==1, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,923
                                                {txt}F(14, 1961)       =  {res}    29.71
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0819
                                                {txt}Root MSE          =    {res} .48001

{txt}{ralign 84:(Std. Err. adjusted for {res:1,962} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}              vote{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}female {c |}
{space 2}Woman Candidate  {c |}{col 20}{res}{space 2}-.0104737{col 32}{space 2} .0419009{col 43}{space 1}   -0.25{col 52}{space 3}0.803{col 60}{space 4}-.0926487{col 73}{space 3} .0717012
{txt}{space 12}1.kinh {c |}{col 20}{res}{space 2} .0059505{col 32}{space 2} .0250376{col 43}{space 1}    0.24{col 52}{space 3}0.812{col 60}{space 4}-.0431525{col 73}{space 3} .0550536
{txt}{space 18} {c |}
{space 7}female#kinh {c |}
Woman Candidate#1  {c |}{col 20}{res}{space 2}  .006797{col 32}{space 2} .0450974{col 43}{space 1}    0.15{col 52}{space 3}0.880{col 60}{space 4} -.081647{col 73}{space 3} .0952409
{txt}{space 18} {c |}
{space 3}1.ben_community {c |}{col 20}{res}{space 2}-.0120887{col 32}{space 2} .0206776{col 43}{space 1}   -0.58{col 52}{space 3}0.559{col 60}{space 4}-.0526411{col 73}{space 3} .0284638
{txt}{space 9}1.ben_biz {c |}{col 20}{res}{space 2}-.0321589{col 32}{space 2} .0214476{col 43}{space 1}   -1.50{col 52}{space 3}0.134{col 60}{space 4}-.0742214{col 73}{space 3} .0099036
{txt}{space 5}1.ben_leaders {c |}{col 20}{res}{space 2} .0093095{col 32}{space 2} .0212962{col 43}{space 1}    0.44{col 52}{space 3}0.662{col 60}{space 4}-.0324561{col 73}{space 3} .0510752
{txt}{space 11}1.age59 {c |}{col 20}{res}{space 2}-.0789302{col 32}{space 2} .0218335{col 43}{space 1}   -3.62{col 52}{space 3}0.000{col 60}{space 4}-.1217494{col 73}{space 3} -.036111
{txt}{space 11}1.age49 {c |}{col 20}{res}{space 2}-.0070846{col 32}{space 2}  .021826{col 43}{space 1}   -0.32{col 52}{space 3}0.746{col 60}{space 4}-.0498892{col 73}{space 3} .0357199
{txt}{space 11}1.age39 {c |}{col 20}{res}{space 2} .0325645{col 32}{space 2} .0219205{col 43}{space 1}    1.49{col 52}{space 3}0.138{col 60}{space 4}-.0104254{col 73}{space 3} .0755544
{txt}{space 7}1.doctorate {c |}{col 20}{res}{space 2} .2690851{col 32}{space 2} .0210712{col 43}{space 1}   12.77{col 52}{space 3}0.000{col 60}{space 4} .2277607{col 73}{space 3} .3104095
{txt}{space 9}1.masters {c |}{col 20}{res}{space 2} .2263118{col 32}{space 2} .0216577{col 43}{space 1}   10.45{col 52}{space 3}0.000{col 60}{space 4} .1838373{col 73}{space 3} .2687863
{txt}{space 7}1.bachelors {c |}{col 20}{res}{space 2} .1902495{col 32}{space 2} .0216323{col 43}{space 1}    8.79{col 52}{space 3}0.000{col 60}{space 4} .1478247{col 73}{space 3} .2326743
{txt}{space 7}1.non_party {c |}{col 20}{res}{space 2}-.1904375{col 32}{space 2}  .015217{col 43}{space 1}  -12.51{col 52}{space 3}0.000{col 60}{space 4}-.2202807{col 73}{space 3}-.1605942
{txt}{space 10}1.inclan {c |}{col 20}{res}{space 2} -.015768{col 32}{space 2} .0153731{col 43}{space 1}   -1.03{col 52}{space 3}0.305{col 60}{space 4}-.0459175{col 73}{space 3} .0143814
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  .444487{col 32}{space 2} .0333867{col 43}{space 1}   13.31{col 52}{space 3}0.000{col 60}{space 4} .3790098{col 73}{space 3} .5099641
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg vote i.female##i.woman i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if  client_group==3, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,872
                                                {txt}F(14, 1935)       =  {res}    25.96
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0763
                                                {txt}Root MSE          =    {res} .48147

{txt}{ralign 84:(Std. Err. adjusted for {res:1,936} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}              vote{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}female {c |}
{space 2}Woman Candidate  {c |}{col 20}{res}{space 2}-.0196945{col 32}{space 2} .0224215{col 43}{space 1}   -0.88{col 52}{space 3}0.380{col 60}{space 4}-.0636674{col 73}{space 3} .0242784
{txt}{space 11}1.woman {c |}{col 20}{res}{space 2} .0101581{col 32}{space 2} .0162754{col 43}{space 1}    0.62{col 52}{space 3}0.533{col 60}{space 4}-.0217611{col 73}{space 3} .0420773
{txt}{space 18} {c |}
{space 6}female#woman {c |}
Woman Candidate#1  {c |}{col 20}{res}{space 2}-.0252135{col 32}{space 2} .0311876{col 43}{space 1}   -0.81{col 52}{space 3}0.419{col 60}{space 4}-.0863784{col 73}{space 3} .0359515
{txt}{space 18} {c |}
{space 3}1.ben_community {c |}{col 20}{res}{space 2} .0488041{col 32}{space 2} .0214653{col 43}{space 1}    2.27{col 52}{space 3}0.023{col 60}{space 4} .0067066{col 73}{space 3} .0909016
{txt}{space 9}1.ben_biz {c |}{col 20}{res}{space 2}-.0328365{col 32}{space 2} .0209683{col 43}{space 1}   -1.57{col 52}{space 3}0.118{col 60}{space 4}-.0739594{col 73}{space 3} .0082863
{txt}{space 5}1.ben_leaders {c |}{col 20}{res}{space 2} .0114525{col 32}{space 2} .0216241{col 43}{space 1}    0.53{col 52}{space 3}0.596{col 60}{space 4}-.0309565{col 73}{space 3} .0538616
{txt}{space 11}1.age59 {c |}{col 20}{res}{space 2}-.0689831{col 32}{space 2} .0219576{col 43}{space 1}   -3.14{col 52}{space 3}0.002{col 60}{space 4}-.1120461{col 73}{space 3}-.0259201
{txt}{space 11}1.age49 {c |}{col 20}{res}{space 2} .0040006{col 32}{space 2} .0220263{col 43}{space 1}    0.18{col 52}{space 3}0.856{col 60}{space 4}-.0391971{col 73}{space 3} .0471983
{txt}{space 11}1.age39 {c |}{col 20}{res}{space 2} .0156742{col 32}{space 2} .0215756{col 43}{space 1}    0.73{col 52}{space 3}0.468{col 60}{space 4}-.0266396{col 73}{space 3}  .057988
{txt}{space 7}1.doctorate {c |}{col 20}{res}{space 2} .2477616{col 32}{space 2} .0213669{col 43}{space 1}   11.60{col 52}{space 3}0.000{col 60}{space 4}  .205857{col 73}{space 3} .2896663
{txt}{space 9}1.masters {c |}{col 20}{res}{space 2} .2087613{col 32}{space 2}  .021283{col 43}{space 1}    9.81{col 52}{space 3}0.000{col 60}{space 4} .1670213{col 73}{space 3} .2505013
{txt}{space 7}1.bachelors {c |}{col 20}{res}{space 2} .1701537{col 32}{space 2} .0223098{col 43}{space 1}    7.63{col 52}{space 3}0.000{col 60}{space 4}    .1264{col 73}{space 3} .2139074
{txt}{space 7}1.non_party {c |}{col 20}{res}{space 2}-.1844539{col 32}{space 2} .0153394{col 43}{space 1}  -12.02{col 52}{space 3}0.000{col 60}{space 4}-.2145375{col 73}{space 3}-.1543704
{txt}{space 10}1.inclan {c |}{col 20}{res}{space 2} .0044869{col 32}{space 2} .0159085{col 43}{space 1}    0.28{col 52}{space 3}0.778{col 60}{space 4}-.0267128{col 73}{space 3} .0356865
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4544507{col 32}{space 2} .0266475{col 43}{space 1}   17.05{col 52}{space 3}0.000{col 60}{space 4} .4021899{col 73}{space 3} .5067116
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. reg vote i.female##i.woman i.ben_community i.ben_biz i.ben_leaders i.age59 i.age49  i.age39 i.doctorate i.masters i.bachelors   i.non_party  i.inclan if client_group==1, cluster(id)

{txt}Linear regression                               Number of obs     = {res}     3,923
                                                {txt}F(14, 1961)       =  {res}    29.68
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0820
                                                {txt}Root MSE          =    {res} .47997

{txt}{ralign 84:(Std. Err. adjusted for {res:1,962} clusters in id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}              vote{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}female {c |}
{space 2}Woman Candidate  {c |}{col 20}{res}{space 2} .0068549{col 32}{space 2} .0217635{col 43}{space 1}    0.31{col 52}{space 3}0.753{col 60}{space 4} -.035827{col 73}{space 3} .0495369
{txt}{space 11}1.woman {c |}{col 20}{res}{space 2} .0178082{col 32}{space 2} .0166128{col 43}{space 1}    1.07{col 52}{space 3}0.284{col 60}{space 4}-.0147725{col 73}{space 3} .0503889
{txt}{space 18} {c |}
{space 6}female#woman {c |}
Woman Candidate#1  {c |}{col 20}{res}{space 2}-.0232536{col 32}{space 2} .0311141{col 43}{space 1}   -0.75{col 52}{space 3}0.455{col 60}{space 4}-.0842738{col 73}{space 3} .0377665
{txt}{space 18} {c |}
{space 3}1.ben_community {c |}{col 20}{res}{space 2}-.0126842{col 32}{space 2} .0207404{col 43}{space 1}   -0.61{col 52}{space 3}0.541{col 60}{space 4}-.0533598{col 73}{space 3} .0279914
{txt}{space 9}1.ben_biz {c |}{col 20}{res}{space 2}-.0323399{col 32}{space 2} .0214226{col 43}{space 1}   -1.51{col 52}{space 3}0.131{col 60}{space 4}-.0743534{col 73}{space 3} .0096737
{txt}{space 5}1.ben_leaders {c |}{col 20}{res}{space 2}   .00909{col 32}{space 2} .0212978{col 43}{space 1}    0.43{col 52}{space 3}0.670{col 60}{space 4}-.0326788{col 73}{space 3} .0508588
{txt}{space 11}1.age59 {c |}{col 20}{res}{space 2}-.0789188{col 32}{space 2} .0218257{col 43}{space 1}   -3.62{col 52}{space 3}0.000{col 60}{space 4}-.1217228{col 73}{space 3}-.0361149
{txt}{space 11}1.age49 {c |}{col 20}{res}{space 2}-.0067985{col 32}{space 2} .0218431{col 43}{space 1}   -0.31{col 52}{space 3}0.756{col 60}{space 4}-.0496366{col 73}{space 3} .0360396
{txt}{space 11}1.age39 {c |}{col 20}{res}{space 2} .0331812{col 32}{space 2} .0219246{col 43}{space 1}    1.51{col 52}{space 3}0.130{col 60}{space 4}-.0098167{col 73}{space 3} .0761792
{txt}{space 7}1.doctorate {c |}{col 20}{res}{space 2}  .268875{col 32}{space 2} .0210602{col 43}{space 1}   12.77{col 52}{space 3}0.000{col 60}{space 4} .2275723{col 73}{space 3} .3101777
{txt}{space 9}1.masters {c |}{col 20}{res}{space 2} .2259275{col 32}{space 2} .0216013{col 43}{space 1}   10.46{col 52}{space 3}0.000{col 60}{space 4} .1835637{col 73}{space 3} .2682913
{txt}{space 7}1.bachelors {c |}{col 20}{res}{space 2} .1902624{col 32}{space 2} .0216259{col 43}{space 1}    8.80{col 52}{space 3}0.000{col 60}{space 4} .1478504{col 73}{space 3} .2326745
{txt}{space 7}1.non_party {c |}{col 20}{res}{space 2}-.1904184{col 32}{space 2} .0152221{col 43}{space 1}  -12.51{col 52}{space 3}0.000{col 60}{space 4}-.2202717{col 73}{space 3}-.1605652
{txt}{space 10}1.inclan {c |}{col 20}{res}{space 2}-.0161684{col 32}{space 2} .0153813{col 43}{space 1}   -1.05{col 52}{space 3}0.293{col 60}{space 4}-.0463338{col 73}{space 3} .0139969
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4408637{col 32}{space 2} .0259187{col 43}{space 1}   17.01{col 52}{space 3}0.000{col 60}{space 4} .3900327{col 73}{space 3} .4916947
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/pschuler/Dropbox/projects/papi gender/clientelism/do file/replication/replication2.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}28 Jul 2023, 14:51:27
{txt}{.-}
{smcl}
{txt}{sf}{ul off}